#In-Memory Database Market share

[jeffhirsch]

October is Worst Month in Election Years

“Octoberphobia” has been used to describe the phenomenon of major market drops occurring during the month. Market calamities can become a self-fulfilling prophecy, so stay on the lookout. October can evoke fear on Wall Street as memories are stirred of crashes in 1929, 1987, the 554-point DJIA drop on October 27, 1997, back-to-back massacres in 1978 and 1979, Friday the 13th in 1989 and the 733-point DJIA drop on October 15, 2008. During the week ending October 10, 2008, DJIA lost 1,874.19 points (18.2%), the worst weekly decline, in percentage terms, in our database going back to 1901. March 2020 now holds the dubious honor of producing the largest and third largest DJIA weekly point declines.

However, October has been a turnaround month—a “bear killer” if you will, turning the tide in thirteen post-WWII bear markets: 1946, 1957, 1960, 1962, 1966, 1974, 1987, 1990, 1998, 2001, 2002, 2011 (S&P 500 declined 19.4%), and 2022. Only 1960 was an election year. While not in an official bear market this year, the market has recently endured bouts of seasonal weakness this year in early August and at the beginning of September. Despite the current Fed-rate-cut fueled rally, another round of weakness ahead of Election Day cannot be ruled out entirely.

Election-year Octobers rank dead last for DJIA, S&P 500 (since 1952), NASDAQ (since 1972) and Russell 1000. For Russell 2000 (since 1980) election year Octobers rank #11, March is worst. Eliminating gruesome 2008 from the calculation provides a little relief, as rankings improve at most two steps (DJIA). Should a meaningful decline materialize in October it may be an excellent buying opportunity, especially for any depressed technology and small-cap shares.

[marsisfried]

Swamp Con!

I went to Swamp Con recently last Saturday with a couple of friends, not fully knowing what to expect besides some general nerdy chaos. I knew there'd be cosplay, maybe some cool panels or vendors--but walking in, I was immediately hit with this wall of expression, Cosplays everywhere. Like, people who had clearly put in work, not just Naruto or Demon Slayer (though there were plenty of those ESPECIALLY SHINJI), but characters from obscure games, webcomics, and anime I've never even heard of. It was overwhelming in the best way. A lot of people were out there not just dressed up but inhabiting their characters/ It felt like walking through a portal into a dimension where fandom becomes identity.

Within the first ten minutes, my friends and I beelined for the maid cafe out of curiosity (and let's be real-chaotic intrigue). I had no idea what to expect, but it ended up being kind of a fascinating performance space. People were presenting in all kinds of gender expressions-some femme- presenting people were wearing sharp suits, and some masc-presenting people were fully decked out in maid dresses, bows, and ruffles. They danced to a song I think was from Overlord?, and there was something incredibly soft and intentional about the whole thing even if I cringed at points. The performance wasn't just entertaining, it felt like a gender remix, a playful undoing of expectations. This reminds me of the whole play thing in Wandering Son and no one really cared for the gender-bending thing only if it was done in a play! That moment stuck with me because it reminded me how fandom can carve out spaces for alternative masculinities. In so many mainstream contexts, masculinity has this rigid armor. But in fandom spaces, especially at cons, it gets to be soft, performative, ridiculous, and expressive. You can wear a frilly maid outfit and still be taken seriously. Or not be taken seriously at all, which is kind of the point. There's freedom in not needing to justify your joy.

Fandom, at its best, is about shared language. It's about knowing the quote, the reference, and the character's arc, and letting that form a kind of shorthand for connection. But walking through Swamp Con's vendor hall reminded me that fandom is also deeply tied to capital. Almost every booth was selling something: keychains, plushies, enamel pins, posters, body pillows, and even yaoi. These weren't just products, they were emotional tokens. Proof that you belonged to something bigger.

But then I noticed something else, booths selling jewelry, original art, even handmade trinkets that had no obvious connection to any big-name fandom. No anime referneces, no pixel art of Link or Gojo. Just personal creations that someone clearly poured their soul into. This felt like a moment of shadow cultural capital- a kind of emotional economy not centered around franchise recognition but around personal meaning. Like, here was this entire hall designated to sell identity, but some people were selling something less tangible like memory, style, and spirit.

It reminded me of something kind of weird but relevant the idea of the animals database. The way animals get categorized and sorted is based on how humans want to understand them, not how they understand themselves. Fandom does this too. It slices up stories, characters, and even people into sortable data: "shipper", "cosplayer", "K-pop stan", "anime bro" etc. But what Swamp Con revealed to me is that people constantly resit being neatly categorized. I saw furries forming spontaneous friend groups, and people bonding over niche characters or shared aesthetics. I made new friends that day just because I noticed someone's pin or asked about their cosplay. Capital couldn't force those moments, they were created through recognition and vibes.

And I think that's what stuck with me most. The way something like a con, a place so drenched in capital, in market logic, can still create these odd little ecosystems of shadow cultural capital. Connections don't depend on how much you spend but how much you feel. It's like the deeper currency at Swamp Con were those connections and moments. In a world that often rewards sameness (sort of like wolf children), this place was thriving on specialty and oddity.

Swamp Con was a mess in the best way. A place where gender bends, fandoms merge, art lives in both the mainstream world and the shadows, and people who seemingly come together not because they fit but because they don't at all. Here's some pictures! No face gave me a gold coin :) 見てください！ 私と友達はスワンプコンに行きました。スワンプコンはとてもたのしくて面白かったです。みんな来��は行きましょう。

[dailyanarchistposts]

J.4.7 What about the communications revolution?

Another important factor working in favour of anarchists is the existence of a sophisticated global communications network and a high degree of education and literacy among the populations of the core industrialised nations. Together these two developments make possible nearly instantaneous sharing and public dissemination of information by members of various progressive and radical movements all over the globe — a phenomenon that tends to reduce the effectiveness of repression by central authorities. The electronic-media and personal-computer revolutions also make it more difficult for elitist groups to maintain their previous monopolies of knowledge. Copy-left software and text, user-generated and shared content, file-sharing, all show that information, and its users, reaches its full potential when it is free. In short, the advent of the Information Age is potentially extremely subversive.

The very existence of the Internet provides anarchists with a powerful argument that decentralised structures can function effectively in a highly complex world. For the net has no centralised headquarters and is not subject to regulation by any centralised regulatory agency, yet it still manages to function effectively. Moreover, the net is also an effective way of anarchists and other radicals to communicate their ideas to others, share knowledge, work on common projects and co-ordinate activities and social struggle. By using the Internet, radicals can make their ideas accessible to people who otherwise would not come across anarchist ideas. In addition, and far more important than anarchists putting their ideas across, the fact is that the net allows everyone with access to express themselves freely, to communicate with others and get access (by visiting webpages and joining mailing lists and newsgroups) and give access (by creating webpages and joining in with on-line arguments) to new ideas and viewpoints. This is very anarchistic as it allows people to express themselves and start to consider new ideas, ideas which may change how they think and act.

Obviously we are aware that the vast majority of people in the world do not have access to telephones, never mind computers, but computer access is increasing in many countries, making it available, via work, libraries, schools, universities, and so on to more and more working class people.

Of course there is no denying that the implications of improved communications and information technology are ambiguous, implying Big Brother as well the ability of progressive and radical movements to organise. However, the point is only that the information revolution in combination with the other social developments could (but will not necessarily) contribute to a social paradigm shift. Obviously such a shift will not happen automatically. Indeed, it will not happen at all unless there is strong resistance to governmental and corporate attempts to limit public access to information, technology (e.g. encryption programs), censor peoples’ communications and use of electronic media and track them on-line.

This use of the Internet and computers to spread the anarchist message is ironic. The rapid improvement in price-performance ratios of computers, software, and other technology today is often used to validate the faith in free market capitalism but that requires a monumental failure of historical memory as not just the Internet but also the computer represents a spectacular success of public investment. As late as the 1970s and early 1980s, according to Kenneth Flamm’s Creating the Computer, the federal government was paying for 40 percent of all computer-related research and 60 to 75 percent of basic research. Even such modern-seeming gadgets as video terminals, the light pen, the drawing tablet, and the mouse evolved from Pentagon-sponsored research in the 1950s, 1960s and 1970s. Even software was not without state influence, with databases having their root in US Air Force and Atomic Energy Commission projects, artificial intelligence in military contracts back in the 1950s and airline reservation systems in 1950s air-defence systems. More than half of IBM’s Research and Development budget came from government contracts in the 1950s and 1960s.

The motivation was national security, but the result has been the creation of comparative advantage in information technology for the United States that private firms have happily exploited and extended. When the returns were uncertain and difficult to capture, private firms were unwilling to invest, and government played the decisive role. And not for want of trying, for key players in the military first tried to convince businesses and investment bankers that a new and potentially profitable business opportunity was presenting itself, but they did not succeed and it was only when the market expanded and the returns were more definite that the government receded. While the risks and development costs were socialised, the gains were privatised. All of which make claims that the market would have done it anyway highly unlikely.

Looking beyond state aid to the computer industry we discover a “do-it-yourself” (and so self-managed) culture which was essential to its development. The first personal computer, for example, was invented by amateurs who wanted their own cheap machines. The existence of a “gift” economy among these amateurs and hobbyists was a necessary precondition for the development of PCs. Without this free sharing of information and knowledge, the development of computers would have been hindered and so socialistic relations between developers and within the working environment created the necessary conditions for the computer revolution. If this community had been marked by commercial relations, the chances are the necessary breakthroughs and knowledge would have remained monopolised by a few companies or individuals, so hindering the industry as a whole.

Encouragingly, this socialistic “gift economy” is still at the heart of computer/software development and the Internet. For example, the Free Software Foundation has developed the General Public Licence (GPL). GPL, also know as

“copyleft”, uses copyright to ensure that software remains free. Copyleft ensures that a piece of software is made available to everyone to use and modify as they desire. The only restriction is that any used or modified copyleft material must remain under copyleft, ensuring that others have the same rights as you did when you used the original code. It creates a commons which anyone may add to, but no one may subtract from. Placing software under GPL means that every contributor is assured that she, and all other uses, will be able to run, modify and redistribute the code indefinitely. Unlike commercial software, copyleft code ensures an increasing knowledge base from which individuals can draw from and, equally as important, contribute to. In this way everyone benefits as code can be improved by everyone, unlike commercial code.

Many will think that this essentially anarchistic system would be a failure. In fact, code developed in this way is far more reliable and sturdy than commercial software. Linux, for example, is a far superior operating system than DOS precisely because it draws on the collective experience, skill and knowledge of thousands of developers. Apache, the most popular web-server, is another freeware product and is acknowledged as the best available. The same can be said of other key web-technologies (most obviously PHP) and projects (Wikipedia springs to mind, although that project while based on co-operative and free activity is owned by a few people who have ultimate control). While non-anarchists may be surprised, anarchists are not. Mutual aid and co-operation are beneficial in the evolution of life, why not in the evolution of software? For anarchists, this “gift economy” at the heart of the communications revolution is an important development. It shows both the superiority of common development as well as the walls built against innovation and decent products by property systems. We hope that such an economy will spread increasingly into the “real” world.

Another example of co-operation being aided by new technologies is Netwar. This refers to the use of the Internet by autonomous groups and social movements to co-ordinate action to influence and change society and fight government or business policy. This use of the Internet has steadily grown over the years, with a Rand corporation researcher, David Ronfeldt, arguing that this has become an important and powerful force (Rand is, and has been since its creation in 1948, a private appendage of the military industrial complex). In other words, activism and activists’ power and influence has been fuelled by the advent of the information revolution. Through computer and communication networks, especially via the Internet, grassroots campaigns have flourished, and the most importantly, government elites have taken notice.

Ronfeldt specialises in issues of national security, especially in the areas of Latin American and the impact of new informational technologies. Ronfeldt and another colleague coined the term

“netwar” in a Rand document entitled “Cyberwar is Coming!”. Ronfeldt’s work became a source of discussion on the Internet in mid-March 1995 when Pacific News Service correspondent Joel Simon wrote an article about Ronfeldt’s opinions on the influence of netwars on the political situation in Mexico after the Zapatista uprising. According to Simon, Ronfeldt holds that the work of social activists on the Internet has had a large influence — helping to co-ordinate the large demonstrations in Mexico City in support of the Zapatistas and the proliferation of EZLN communiqués across the world via computer networks. These actions, Ronfeldt argues, have allowed a network of groups that oppose the Mexican Government to muster an international response, often within hours of actions by it. In effect, this has forced the Mexican government to maintain the facade of negotiations with the EZLN and has on many occasions, actually stopped the army from just going in to Chiapas and brutally massacring the Zapatistas.

Given that Ronfeldt was an employee of the Rand Corporation his comments indicate that the U.S. government and its military and intelligence wings are very interested in what the Left is doing on the Internet. Given that they would not be interested in this if it were not effective, we can say that this use of the “Information Super-Highway” is a positive example of the use of technology in ways un-planned of by those who initially developed it (let us not forget that the Internet was originally funded by the U.S. government and military). While the internet is being hyped as the next big marketplace, it is being subverted by activists — an example of anarchistic trends within society worrying the powers that be.

A good example of this powerful tool is the incredible speed and range at which information travels the Internet about events concerning Mexico and the Zapatistas. When Alexander Cockburn wrote an article exposing a Chase Manhattan Bank memo about Chiapas and the Zapatistas in Counterpunch, only a small number of people read it because it is only a newsletter with a limited readership. The memo, written by Riordan Roett, argued that “the [Mexican] government will need to eliminate the Zapatistas to demonstrate their effective control of the national territory and of security policy”. In other words, if the Mexican government wants investment from Chase, it would have to crush the Zapatistas. This information was relatively ineffective when just confined to print but when it was uploaded to the Internet, it suddenly reached a very large number of people. These people in turn co-ordinated protests against the U.S and Mexican governments and especially Chase Manhattan. Chase was eventually forced to attempt to distance itself from the Roett memo that it commissioned. Since then net-activism has grown.

Ronfeldt’s research and opinion should be flattering for the Left. He is basically arguing that the efforts of activists on computers not only has been very effective (or at least has that potential), but more importantly, argues that the only way to counter this work is to follow the lead of social activists. Activists should understand the important implications of Ronfeldt’s work: government elites are not only watching these actions (big surprise) but are also attempting to work against them. Thus Netwars and copyleft are good examples of anarchistic trends within society, using communications technology as a means of co-ordinating activity across the world in a libertarian fashion for libertarian goals.

[achorusofnonsense]

Of Stoats and Systems

Things are getting heated on various platforms but rather than @ anyone and contribute to the engagement spiral I thought I'd just lay out the various pieces of information that have caught my attention about Dimension 20's upcoming season, and the inferences and assumptions that I'm bringing to them, and see whether any of it resonates.

Evidence

Exhibit A: In the first Fireside Chat, the talkback show for actual-play podcast Worlds Beyond Number, Erika Ishii references a "cyberpunk Watership Down" concept, and is hushed by Aabria Iyengar, who says that it may be coming up sooner than Erika thinks.

Exhibit B: In the SAG-AFTRA production signatory database, a season of Dimension 20 is listed with the working title of Stoatal Recall.

Exhibit B.5: The 1990 film Total Recall (as well as the 2012 remake), based on a 1966 short story by Philip K. Dick, "We Can Remember It for You Wholesale," concerns a man who undergoes a memory-alteration procedure which may or may not turn him into a superspy, depending on whether the events of the movie are all in his head or not. The important part here is the theme of ability enhancement.

Exhibit C: Once the Burrow's End trailer was released, the two pieces of media that were officially referenced by Dropout as inspirations for the season were very obviously Watership Down (1972 book, 1978 animated adaptation) but equally consequentially, The Secret of NIMH (1982 animated adaptation of the 1971 book Mrs Frisby and the Rats of NIMH).

Exhibit C.5: The central premise of the NIMH stories is that experiments done on rats by the National Institute of Mental Health gave them human-like intelligence, organizational capabilities, and (in the movie) access to magic and the use of weapons.

Exhibit D: Aabria, in both a Bluesky post and a Tumblr tag essay which have been widely shared, has explained that she chose 5th Edition Dungeons & Dragons as the system for Burrow's End not due to comfort with a familiar system or to commercial pressure to not deviate from what fans are used to, but because particular elements of the system design lent themselves to the specific story she wanted to tell in ways that no other TTRPG she knew could.

Cross Examination

Now, many people have taken this to mean that intense and recurring violence is a central aspect of the season, since one of the most obviously robust elements of D&D is its battle simulation mechanics. (There are, of course, many TTRPGs which incorporate mechanics for drawn-out, granular combat, several of which position small woodland creatures in a big dangerous forest instead of traditional fantasy races in a fantasy realm as the protagonists.)

Others have suggested that D&D's elaborate magic system is the key element, since bits of the trailer suggest that the Stupendous Stoats are granted some kind of magical abilities by the Blue. (Games where woodland creatures specifically use magic are rather thinner on the ground, but there are again many TTRPGs that support a wide variety of magical abilities with a high degree of customization.)

I've even seen people proposing that D&D's fundamental origins as a killing-and-looting game rooted in 20th century imperialist narratives in which powerful people go into uncivilized lands, plunder their treasures and are considered heroes for it, is the point, especially since stoats are predators that take over the burrows of animals they kill, and are an invasive species in some parts of the world. (Other games about imperialist conquest and the ramifications of power achived by violence do exist, although it would be untrue to say that D&D is not the market leader there.)

Closing Argument

But if I'm looking at the themes of the works that appear to have been the most direct inspiration for Burrow's End, there's something else that D&D does more completely, if not actually better, than just about every other system.

A fundamental theme of the cyberpunk genre is the use of technology to exceed current human limitations, whether through biohacking, neuromancy, or even merely robotics so advanced as to be indistinguishable from humanity. Even if the technological element does not seem to be overtly present in Burrow's End, exceeding limitations does.

As a film, Total Recall was deeply influenced by cyberpunk, which was itself deeply influenced by Philip K. Dick's work, but the concept of a procedure which could endow a normal man with the capacity for action-movie violence and a deeper awareness of the reality behind the façade of the everyday is, obviously, older than cyberpunk.

In Watership Down, rabbits whose mental abilities exceed those of other rabbits often attribute them to a kind of mystical communion with deific figures in rabbit mythology; in the NIMH stories, the rats' enhanced abilities are more straightforwardly attributed to human experimentation.

In every case, the concept of abilities that increase over time and exceed the natural physiology of the protagonist species is an essential part of the worldbuilding of the source material. And what D&D does more of than almost every other system, perhaps what it does to excess, even to the exclusion of design elements that would better contribute to a satisfying narrative, is power leveling.

Speculation

As you might expect from the foregoing, I take the position that power leveling is, in itself, not particularly compelling as a central narrative (unless your horizon for compelling narratives is limited to video-game RPGs and shonen anime, I suppose), even though it's endemic as a narrative device. As I sarcastically noted elsewhere: "it's impossible to have adventure without also having power fantasy, I've been told by every media property aimed at boys since the Carter administration."

But the tone of the trailer for Burrow's End is hardly that of a shonen anime or Schwarzenegger film. And as a listener of Worlds Beyond Number I can't really believe that Aabria just wants to level up her stoats to a point where the dangers of the forest are trivial and even the dangers of whatever human institution (there are camo-covered trucks tucked away in the DM screen) may be responsible for their ability score increases are managable. What I can't stop thinking about, what tantalizes me, is the possibility of power leveling as a narrative device that can go both ways. What if deleveling is also on the table?

And the work I haven't seen anyone else reference but has always been paired in my head with Mrs Frisby & the Rats of NIMH since I read them both as a tween, one of the supreme works of sci-fi psychological horror (even though it isn't usually discussed in those terms), is Flowers for Algernon.

[celestialdraught]

Bruh, heard. AI today has got problems. But let me take a crack at answering the questions:

1.) Trillion dollar problem: visual storytelling (movies ($40B), video games (another $347B), comics, etc. etc.)

Time was one programmer could sit down for a few weeks and make a (cutting edge) video game. Those days are long gone due to the complexity of the art. But what if that kind of time commitment was all it took? Everybody who had game idea could have an AI whip up some concept art (today), compose a soundtrack (today), bounce ideas for a script (today), prompt up some AI voice actors (today), program the game engine (today) then storyboard, model, animate (tomorrow? I could be missing some capabilities). You, the 'ideas man', just prompt and test. Prompt and test. Then publish.

Of course, most of the output will be utter garbage. But say you're a publisher and you have your choice to sign, fund, and market an old school video game with years of development and hundreds of paychecks... or this kind of game that crosses your desk every week from some otaku who's worked some AI magic, ready to monetize right now?

I bet Marvel would axe the vast majority of their visual effects department if AI could mimic their output sufficiently. And before you say that will never happen, check the history of AI mimicking things. It's just pixels.

2.) For chatbots, the goal has always been clear, to test whether computers can convincingly imitate humans. Turing wrote this up in the imitation game. And the Loebner Prize has been testing this competitively since 1990. Getting better means duping more humans. Decades of clear goal, objective and easily counted improvement metric, check.

The history isn't as long for art or music mixers as for chatbots, but on the music side you might be impressed at the progress.

3.) When in the history of capitalism have energy requirements for businesses ever been unmet for long? Those who have the money monopolize the resources (in this case, kilowatt-hours). The powers that be will ration your screen time and ban electric vehicles before they turn off their servers, and their congressmen will make it so.

(Do I want this to happen? Of course not. Switch off all the fossil fuel infrastructure and usher in the Green New Deal! But I'm not in the donor class...)

4.) For some tasks, for some humans, the replacement (of AI for human labor) produces results of similar enough quality to justify the price difference to the customers. Don't think in binary (will AI replace all humans?!). Think in market share (how many tasks that we pay humans for now will it be noncompetitive to pay humans for tomorrow given AI alternatives?).

Anecdotally, I've heard the pain of freelance artists, and the joy of those who once hired them (so fast! so free!). Exercise for the reader to find harder economic data.

5.) In living memory the wilderness of the internet was made searchable by semantic databases. Somebody's gonna crack the problem of what data to keep, and how to understand it best.

ed zitron, a tech beat reporter, wrote an article about a recent paper that came out from goldman-sachs calling AI, in nicer terms, a grift. it is a really interesting article; hearing criticism from people who are not ignorant of the tech and have no reason to mince words is refreshing. it also brings up points and asks the right questions:

if AI is going to be a trillion dollar investment, what trillion dollar problem is it solving?

what does it mean when people say that AI will "get better"? what does that look like and how would it even be achieved? the article makes a point to debunk talking points about how all tech is misunderstood at first by pointing out that the tech it gets compared to the most, the internet and smartphones, were both created over the course of decades with roadmaps and clear goals. AI does not have this.

the american power grid straight up cannot handle the load required to run AI because it has not been meaningfully developed in decades. how are they going to overcome this hurdle (they aren't)?

people who are losing their jobs to this tech aren't being "replaced". they're just getting a taste of how little their managers care about their craft and how little they think of their consumer base. ai is not capable of replacing humans and there's no indication they ever will because...

all of these models use the same training data so now they're all giving the same wrong answers in the same voice. without massive and i mean EXPONENTIALLY MASSIVE troves of data to work with, they are pretty much as a standstill for any innovation they're imagining in their heads

[rishabhtpt]

Why Choose a DBMS Over a Traditional File System?

Remember the early days of personal computing? Perhaps you recall organizing your digital life by creating folders for "Documents," "Photos," and "Spreadsheets." Inside these folders, you meticulously saved individual files like "Budget_2023.xlsx" or "CustomerList.txt." This approach, relying on a traditional file system, felt intuitive and effective for managing a small, personal collection of information. But what happens when your data grows from a handful of files to millions, shared by hundreds of users across multiple applications? This is where the fundamental differences between a simple file system and a robust Database Management System (DBMS) become glaringly apparent.

While a file system excels at storing individual files in a hierarchical structure, much like filing cabinets in an office, it quickly buckles under the demands of modern, complex data management. For businesses, organizations, or even advanced personal projects, the limitations of a file system can quickly lead to a data management nightmare. This begs the crucial question: Why is a DBMS almost always the superior choice for handling anything beyond the most basic data storage needs?

The Traditional File System: A Trip Down Memory Lane

Before the widespread adoption of DBMS, many organizations managed their data using collections of application programs that each processed their own separate files. Imagine a sales department having its customer list in one spreadsheet, while the marketing department maintains another, slightly different list in a text file. Each program would have its own set of files defined and managed independently.

This seemed straightforward at first. You'd have a file for customer names, another for orders, and perhaps another for product inventories. For simple, isolated tasks, it got the job done. However, as businesses grew and data became interconnected, this approach started to creak under the pressure, exposing numerous inherent weaknesses.

The Growing Pains: Where File Systems Fall Short

Using traditional file systems for anything beyond simple, isolated data management quickly introduces a host of problems:

Data Redundancy and Inconsistency: When the same data (e.g., customer address) is stored in multiple files, it leads to redundancy. If a customer moves, their address needs to be updated in every file. Forgetting even one update leads to inconsistent data – a prime source of error and confusion.

Difficulty in Data Access: Want to find all customers who bought product X and live in city Y? In a file system, you'd likely have to write a custom program to search through multiple files, extract information, and then piece it together. This is cumbersome, inefficient, and prone to errors. There's no standardized way to query across disparate files.

Lack of Data Sharing: It's hard for multiple users or applications to access and modify the same data concurrently without conflicts. Imagine two sales reps trying to update the same customer record simultaneously in a text file – chaos would ensue, potentially leading to data corruption or lost updates.

Data Dependence: Applications are heavily tied to the specific file formats. If the format of a customer file changes (e.g., adding a new column for email address), every application that uses that file needs to be modified and recompiled. This makes system evolution incredibly rigid and expensive.

No Built-in Data Integrity and Security: File systems offer very limited mechanisms for enforcing data rules. There's nothing to stop you from entering "XYZ" into a numeric "Price" field, or deleting a customer record even if there are active orders associated with them. Security often relies on operating system permissions (read/write/execute), which are too coarse-grained for controlling access to specific pieces of data.

Concurrency Issues: When multiple users or processes try to read from and write to the same files simultaneously, it can lead to race conditions, data corruption, and deadlock situations. File systems offer basic locking mechanisms, but these are insufficient for complex, multi-user environments.

Recovery Problems: What happens if your system crashes in the middle of an update? In a file system, you might end up with partial updates, corrupted files, or lost data. Recovering to a consistent state after a system failure is extremely difficult and often requires manual intervention.

No Atomicity: Transactions (a sequence of operations treated as a single logical unit) are not atomic. This means that if an operation fails mid-way, the entire set of operations is not guaranteed to be rolled back or fully completed, leaving the data in an inconsistent state.

Enter the DBMS: The Modern Data Powerhouse

This is where the power of a DBMS shines through. A DBMS is a sophisticated software system designed specifically to manage and organize large volumes of data efficiently and securely. It addresses all the shortcomings of traditional file systems by providing a structured, controlled, and powerful environment for data management:

Reduced Redundancy and Improved Consistency: A DBMS centrally manages data, reducing redundancy by allowing data to be stored once and referenced multiple times. Built-in constraints (like primary and foreign keys, as discussed in our previous blog) ensure data consistency by enforcing rules across related tables.

Efficient Data Access: DBMS provides powerful query languages (like SQL - Structured Query Language) that allow users and applications to retrieve, manipulate, and analyze data quickly and flexibly, without needing to write custom programs for every query. Indexing further speeds up retrieval.

Enhanced Data Sharing and Concurrency Control: A DBMS is designed for multi-user access. It employs sophisticated concurrency control mechanisms (like locking and transaction management) to ensure that multiple users can access and modify data concurrently without conflicts or data corruption.

Data Independence: DBMS provides multiple levels of data abstraction, meaning changes to the physical storage structure (e.g., moving data to a different disk, changing indexing) do not necessarily require changes to the applications that access the data. This makes systems far more adaptable.

Robust Data Integrity and Security: Beyond physical security, a DBMS offers fine-grained access control, allowing administrators to define who can access what data and perform specific operations. It also enforces data integrity rules through various constraints, ensuring data quality at the database level.

Automatic Recovery and Backup: DBMS includes built-in mechanisms for logging transactions, performing backups, and automatically recovering the database to a consistent state after a system failure, minimizing data loss and downtime.

Atomicity of Transactions (ACID Properties): DBMS supports ACID properties (Atomicity, Consistency, Isolation, Durability) for transactions. This guarantees that all operations within a transaction are either fully completed or entirely rolled back, ensuring data integrity even in the face of errors or system failures.

Scalability and Performance: DBMS are engineered to handle enormous volumes of data and high user traffic, offering optimized performance for complex queries and transactions, making them suitable for enterprise-level applications.

File System vs. DBMS: A Clear Winner for Complex Data

In the direct comparison of file system vs. DBMS, the latter clearly emerges as the superior choice for almost any real-world scenario involving interconnected, shared, and frequently updated data. While a traditional file system remains perfectly adequate for storing isolated personal documents or simple software configurations, it simply lacks the sophisticated features necessary for managing relational data, ensuring integrity, providing concurrent access, and handling failures gracefully.

[codingbrushup]

The Ultimate Roadmap to Web Development – Coding Brushup

In today's digital world, web development is more than just writing code—it's about creating fast, user-friendly, and secure applications that solve real-world problems. Whether you're a beginner trying to understand where to start or an experienced developer brushing up on your skills, this ultimate roadmap will guide you through everything you need to know. This blog also offers a coding brushup for Java programming, shares Java coding best practices, and outlines what it takes to become a proficient Java full stack developer.

Why Web Development Is More Relevant Than Ever

The demand for web developers continues to soar as businesses shift their presence online. According to recent industry data, the global software development market is expected to reach $1.4 trillion by 2027. A well-defined roadmap is crucial to navigate this fast-growing field effectively, especially if you're aiming for a career as a Java full stack developer.

Phase 1: The Basics – Understanding Web Development

Web development is broadly divided into three categories:

Frontend Development: What users interact with directly.

Backend Development: The server-side logic that powers applications.

Full Stack Development: A combination of both frontend and backend skills.

To start your journey, get a solid grasp of:

HTML – Structure of the web

CSS – Styling and responsiveness

JavaScript – Interactivity and functionality

These are essential even if you're focusing on Java full stack development, as modern developers are expected to understand how frontend and backend integrate.

Phase 2: Dive Deeper – Backend Development with Java

Java remains one of the most robust and secure languages for backend development. It’s widely used in enterprise-level applications, making it an essential skill for aspiring Java full stack developers.

Why Choose Java?

Platform independence via the JVM (Java Virtual Machine)

Strong memory management

Rich APIs and open-source libraries

Large and active community

Scalable and secure

If you're doing a coding brushup for Java programming, focus on mastering the core concepts:

OOP (Object-Oriented Programming)

Exception Handling

Multithreading

Collections Framework

File I/O

JDBC (Java Database Connectivity)

Java Coding Best Practices for Web Development

To write efficient and maintainable code, follow these Java coding best practices:

Use meaningful variable names: Improves readability and maintainability.

Follow design patterns: Apply Singleton, Factory, and MVC to structure your application.

Avoid hardcoding: Always use constants or configuration files.

Use Java Streams and Lambda expressions: They improve performance and readability.

Write unit tests: Use JUnit and Mockito for test-driven development.

Handle exceptions properly: Always use specific catch blocks and avoid empty catch statements.

Optimize database access: Use ORM tools like Hibernate to manage database operations.

Keep methods short and focused: One method should serve one purpose.

Use dependency injection: Leverage frameworks like Spring to decouple components.

Document your code: JavaDoc is essential for long-term project scalability.

A coding brushup for Java programming should reinforce these principles to ensure code quality and performance.

Phase 3: Frameworks and Tools for Java Full Stack Developers

As a full stack developer, you'll need to work with various tools and frameworks. Here’s what your tech stack might include:

Frontend:

HTML5, CSS3, JavaScript

React.js or Angular: Popular JavaScript frameworks

Bootstrap or Tailwind CSS: For responsive design

Backend:

Java with Spring Boot: Most preferred for building REST APIs

Hibernate: ORM tool to manage database operations

Maven/Gradle: For project management and builds

Database:

MySQL, PostgreSQL, or MongoDB

Version Control:

Git & GitHub

DevOps (Optional for advanced full stack developers):

Docker

Jenkins

Kubernetes

AWS or Azure

Learning to integrate these tools efficiently is key to becoming a competent Java full stack developer.

Phase 4: Projects & Portfolio – Putting Knowledge Into Practice

Practical experience is critical. Try building projects that demonstrate both frontend and backend integration.

Project Ideas:

Online Bookstore

Job Portal

E-commerce Website

Blog Platform with User Authentication

Incorporate Java coding best practices into every project. Use GitHub to showcase your code and document the learning process. This builds credibility and demonstrates your expertise.

Phase 5: Stay Updated & Continue Your Coding Brushup

Technology evolves rapidly. A coding brushup for Java programming should be a recurring part of your development cycle. Here’s how to stay sharp:

Follow Java-related GitHub repositories and blogs.

Contribute to open-source Java projects.

Take part in coding challenges on platforms like HackerRank or LeetCode.

Subscribe to newsletters like JavaWorld, InfoQ, or Baeldung.

By doing so, you’ll stay in sync with the latest in the Java full stack developer world.

Conclusion

Web development is a constantly evolving field that offers tremendous career opportunities. Whether you're looking to enter the tech industry or grow as a seasoned developer, following a structured roadmap can make your journey smoother and more impactful. Java remains a cornerstone in backend development, and by following Java coding best practices, engaging in regular coding brushup for Java programming, and mastering both frontend and backend skills, you can carve your path as a successful Java full stack developer.

Start today. Keep coding. Stay curious.

[stomhardy]

Top Tech Stacks for Centralized Crypto Exchange Development in 2025

Introduction

Introduction This grain of truth feeds on the greatest economic system revolution-the fast-changing crypto market ringed-in by centralized crypto exchanges (CEXs) immediately. Building a robust, secure, scalable centralized exchange in 2025 will definitely call for the right technology stack, with sharp competition and rising user expectations. Thus, the choice of right tools and frameworks is clear-it is not just for smooth performance and user experience but also for compliance, security, and future scalability. This blog shares into the top technology stacks meant for building a centralized crypto exchange with considerations towards the core components and future trends.

Core Components of a Centralized Exchange

At the heart of every centralized crypto exchange are several critical components. Each of these components must work together to deliver a better experience for traders while ensuring safety, efficiency, and compliance with the law. The selection of technology is important for to create centralized crypto exchanges. The components are:

Frontend Technologies

Backend Technologies

Database and Storage Solutions

Security Tech stack

Infrastructure and Deployment

Analytics and Monitoring Tools

Top Tech Stacks for Centralized Crypto Exchange in 2025

Frontend Technologies

Choosing a suitable technology stack is significant to each one of these components. For frontend technologies, the usual names in 2025 include React and Angular in combination with Vue.js. Such JavaScript frameworks can support the creation of dynamic as well as responsive user interfaces, offering features such as component-based architecture and efficient state management. For example, the virtual DOM of React can ameliorate the performance, whereas total framework of Angular provides a well-structured aspect to applications on a large scale. One thing that makes Vue.js very popular is the fact that it is progressive and easy to integrate.

Backend Technologies

Both the backend stacks provide the mainstay of the exchange. They will favor the performance and scalability of the enormous libraries that Go, Java, and Python have. Concurrency is one of the key strengths of Go that makes it feasible, as it allows for building engines that sign high-performance trading. It is safe to say that Java's robustness and a mature ecosystem can be described as suitable for organizing a complex financial system. However, the freedom and richness of frameworks in the middle of Django and Flask make it possible for rapid development using Python. The kinds of real time communications between front and back end that are possible use WebSockets. 

Database and Storage Solutions

Such database and storage solutions should be able to support great deal of transactional data and therefore must be very sound and scalable. They can either be PostgreSQL or MySQL for relational databases, which are ACID compliant and data-consistent. In-memory databases like Redis and Memcached are made to cache hot data and improve the performance significantly.

Security Tech Stack

Security doesn't exist to dispute anymore about cryptocurrency exchange systems-the security tech stack has layers beyond layers of protection. The encryption is essential for private and secured communications. Hardware Security Modules (HSMs) secure private keys through key storage. Poly signature schemes raise yet another level of permission to use transactions. Regular security audits and penetration tests to determine vulnerabilities and remediate them are also important. There should also be technologies of scam detection  in order to secure both the platform and the users.

Infrastructure and Deployment

Centralization forms the base of all infrastructure and deployment of a cryptocurrency exchange. Cloud infrastructure such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure create a very good foundation with on-demand computing resources, storage solutions, and networking capabilities that will exactly measure with the increase of the exchange. One feature taking advantage of load balancing sends traffic to multiple servers and can avoid a single point of failure and be responsive during heavy trading times.

Analytics and Monitoring Tools

Analysis and monitoring software constitute the most vital tool for effective operation and continual optimization of a centralized cryptocurrency exchange. Real-time monitoring tools, worth mentioning, would be Prometheus and Grafana, as they provide vital insights on different performance metrics within the exchange, such as server resource use (CPU, memory, network), application response time, and response times from APIs. This way, one could detect anomalies and potential problematic areas in real-time to address them quickly, ensuring system stability while increasing user satisfaction. 

Factors to Consider When Choosing The Tech Stack

This has caused a centralized crypto exchange to be built using technology stack selections. This technology stack is strategic in determining the performance, efficiency, and long term viability of the platform. However, one of the first considerations is the project's scope and complexity; that is, a large exchange with facilities such as margin trading, advanced charting tools, or high frequency trading support requires a more measurable architecture. Other issues are related to the number of transactions and concurrency requirements since the system would have to be capable of processing thousands of transactions per second with very low latencies and high uptime. Security is high up the list as well; with exchanges consistently becoming prime targets for cyberattacks in the crypto space, the stack should ideally come with built-in security best practices, encryption support, and integration with identity verification and threat detection tools.

Future Ready Tech Trends

Artificial Intelligence and Machine Learning will be more integrated in spam detection and trade prediction. They are also infusing the development of Web3 compatibility, zero-trust security models, and quantum-resistant encryption. It's also being worked on around modular blockchain integrations, multi-chain support, and decentralized identity (DID) solutions, which are the contours of centralization and decentralization in finance ecosystems.  Developments in blockchain interoperability make seamless trading of assets possible across different blockchains. AI and ML technologies are useful for minimizing fraud risks and providing tailored user experience initiatives.

Conclusion

A technology stack can make or break a centralized cryptocurrency exchange. Speed, security, and scalability will be more crucial than ever as we welcome the year 2025. Developers must stay ahead by adopting cutting-edge tools and frameworks that are in sync with their business needs and market trends as these evolve. The best technology stacks have built a strong foundation that allows exchanges to be trusted by their users and to scale according to best practice in delivering mission-critical services in a dynamic digital assets world. Developers can create robust, secure, and scalable platforms that will respond to the changing needs of the cryptocurrency market by carefully weighing the components and keeping an eye to futurist thought as they evaluate different technology stacks.

[differenttimemachinecrusade]

High Availability Server Market Size, Share, Scope, Analysis, Forecast, Growth, and Market Dynamics Report 2032

The High Availability Server Market Size was valued at USD 13.67 Billion in 2023 and is expected to reach USD 24.31 Billion by 2032 with a growing CAGR of 6.61% over the forecast period 2024-2032.

The High Availability Server Market is witnessing significant growth, driven by increasing demand for uninterrupted business operations, rising cybersecurity threats, and the growing need for data center resilience. Organizations across industries are investing in high availability (HA) servers to ensure seamless performance, prevent downtime, and enhance disaster recovery capabilities.

The High Availability Server Market continues to expand as enterprises shift toward cloud computing, virtualization, and data-driven decision-making. With the rise in remote work and digital transformation, businesses are prioritizing robust IT infrastructure to maintain 24/7 availability. The growing reliance on real-time applications, AI-powered analytics, and mission-critical workloads is further accelerating market adoption.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3935 

Market Keyplayers:

IBM Corporation (IBM Power Systems, IBM z Systems)

Fujitsu (Fujitsu PRIMEQUEST, FUJITSU Server SPARC M12)

Cisco Systems (Cisco UCS C-Series, Cisco UCS B-Series)

Oracle Corporation (Oracle Exadata Database Machine, Oracle SPARC Servers)

HP Development Company L.P. (HP ProLiant Servers, HP Integrity Servers)

NEC Corporation (NEC Express5800, NEC UNIVERSE)

Unisys Global Technologies (Unisys ClearPath Forward, Unisys ES7000)

Dell Inc. (Dell PowerEdge Servers, Dell VRTX Servers)

Stratus Technologies (Stratus ftServer, Stratus everRun)

Centerserv (Centerserv High Availability Servers)

Huawei Technologies (Huawei FusionServer, Huawei KunLun Servers)

Microsoft Corporation (Microsoft Windows Server, Azure Stack HCI)

Lenovo Group (Lenovo ThinkSystem Servers, Lenovo ThinkAgile)

Supermicro (Supermicro SuperServer, Supermicro TwinPro)

Toshiba Corporation (Toshiba High Availability Servers, Toshiba Server Solutions)

Hitachi Vantara (Hitachi Compute Blade, Hitachi Virtual Storage Platform)

VCE (part of Dell Technologies) (Vblock Systems)

VMware (VMware vSphere, VMware vSAN)

Zebra Technologies (Zebra SmartEdge Servers, Zebra QL Servers)

Micron Technology (Micron High Availability Memory Solutions, Micron Storage Solutions)

Market Trends

Cloud-Based HA Servers: The shift toward cloud computing is driving demand for high availability server solutions that offer scalability, security, and cost efficiency.

Edge Computing Integration: Businesses are deploying HA servers at the edge to process data closer to users, reducing latency and enhancing operational efficiency.

AI and Automation in HA Servers: AI-driven predictive analytics and automated failover systems are improving server reliability and minimizing downtime.

Increased Focus on Cybersecurity: As cyber threats escalate, enterprises are implementing HA servers with advanced security features to safeguard critical data.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3935 

Market Segmentation:

By Deployment Mode

Cloud-Based

On-Premises

By Organization Size

Large Enterprises

Small and Medium Enterprises

By Operating System

Windows

Linux

Others

By End-Use Industry

BFSI

IT & Telecommunication

Government

Healthcare

Manufacturing

Retail

Market Analysis

Rising Digital Transformation: Organizations across finance, healthcare, e-commerce, and telecom sectors are adopting HA servers to ensure uninterrupted digital services.

Growing Data Center Investments: Major IT firms and cloud service providers are expanding their high availability infrastructure to meet the rising demand for data processing and storage.

Regulatory Compliance and Risk Management: Industries dealing with sensitive data, such as banking and healthcare, are investing in HA solutions to meet compliance standards.

Small and Medium Enterprises (SMEs) Adoption: The increasing affordability of HA server solutions is driving adoption among SMEs seeking robust IT infrastructure.

Future Prospects

The High Availability Server Market is expected to grow at a CAGR of over 10% in the coming years, fueled by advancements in AI, IoT, and hybrid cloud solutions. Businesses will continue to invest in HA infrastructure to ensure business continuity, enhance cybersecurity, and optimize IT efficiency. The rise of 5G networks and real-time data processing will further drive demand for highly reliable server environments.

Access Complete Report: https://www.snsinsider.com/reports/high-availability-server-market-3935 

Conclusion

The High Availability Server Market is evolving rapidly, with enterprises prioritizing reliability, security, and efficiency in their IT operations. As organizations embrace cloud computing, edge technology, and AI-driven automation, HA servers will remain a critical component in ensuring seamless digital experiences. The future of the market looks promising, with continued innovation and widespread adoption across industries.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[nursingwriter]

Healthcare Hand-held devices and portable digital assistants (PDAs) are being integrated into the health care setting in the United States. It is important to understand which devices are being used, how they are being used, what they are being used for, and why. Understanding the role that hand-held devices and other portable electronics play in health care can help to inform organizational policy, and help health care administrators better implement electronic medical records. History of use The first documented PDA was the Newton MessagePad, issued by Apple in 1993. It was described as being "revolutionary" (Wiggins, 2004, p. 5). Palm, Inc. developed the next big handheld device: the Palm Pilot, in 1996. By the late 1990s, PDAs were equipped for Internet access, and memory capacity and other features improved with each product release. Microsoft also entered the portable electronic devices marketplace in the 1990s. The devices were not yet being integrated into the healthcare system. Since the new millennium, smartphones and other handheld devices have become standard items in both personal and professional settings. The increased power and expansion of PDA features have made them particularly effective and useful in the healthcare setting. The evolution of PDA use in healthcare shows the remarkable potential for full integration with every aspect of care management and delivery. Trends in the consumer market parallel trends in health care, as PDAs, tablets, and smartphones are set to surpass personal computers in terms of overall sales (Wiggins, 2004, p. 5). Therefore, portable devices are the future of medical computing. Physicians have for many years relied on portable electronic devices like pagers to ensure timely and quality delivery of care. Now, paging is only one of many functions that a handheld computer can offer the practitioner. Radiology was one of the first practicing medical fields to document a need for integrating handheld technology with health care, although medical students have been using them for years (Wiggins, 2004). Survey results by Garrity & El Emam (2006) reveal that the majority of doctors, medical residents, and advance practice nurses in hospitals are using portable electronic devices. Prevalence has become high, and is growing exponentially because of the myriad of uses that PDAs have in the healthcare system. Why PDAs? The reasons why PDAs and other portable devices have become fully integrated into health care are extensive. For one, the amount of information needed to run an effective health care organization and then to deliver quality of care to patients is simply "staggering" (Wiggins, 2004, p. 5). From patient personal information to patient medical history; from results from tests to patient satisfaction surveys, data is continually being collected, collated, and stored electronically in hospitals and other health care centers. PDAs are aiding all health care workers by providing a quick, easy way of collecting and distributing data. PDAs have the ability to store a lot, even if temporarily. Their storage capacities are growing, and they can also be synced to computers for backing up and properly cataloging patient information. In this manner, the extensive amount of information being shared in the health care setting is facilitated by the use of PDAs. Portable devices "allow for a great deal of knowledge in a small package," (Wiggins, 2004, p. 5). As electronic medical records become more commonplace and standardized, the use of PDAs will become even more apparent in health care institutions. Patient data needs to be accessed quickly and accurately. Portable devices serve as "walking libraries," according to Wiggins (2004, p. 5). Not only do health care workers need to continually refer to individual patient records; they might also need to access medical databases for critical information on the fly. Information about contraindications for specific medications, or for evidence-based practice for acute procedures can be accessed via PDAs linked to databases and networks. The communication potential of PDAs and other portable devices is tremendous and cannot be underestimated. Doctors have been using pagers for years, but their outmoded technology warrants the integration of paging functions with other more data-rich needs. All members of the health care team can stay in touch and communicate at any stage of care delivery when they are using PDAs, even if their individual devices are using different operating systems. In the same way that an Apple iPhone user can interact with a Samsung Galaxy user, it does not matter if different institutions are using different devices and require communication; or if nurses and doctors in the same facility are using different devices. The technology has evolved to the point where such issues have become irrelevant. Technology advancements have improved the user experience with PDAs. Many doctors and healthcare workers find that voice recognition software embedded in the devices helps with data entry; whereas the keyboard input methods have also improved. The ability to share data imagery from tests like MRIs and CAT scans is essential for providing immediate care to patients. As the PDA technology keeps improving, the devices will only get better in terms of connectivity to databases, memory capacity, battery life, visual and audio processing, keyboard and other inputs, voice recognition, imaging, and aspects of the user experience. Patients are also starting to use PDAs in the health care setting. Kato (2010) points out that games are a critical way of helping some patient groups. Working with children might make video games especially relevant, but all patient groups can benefit potentially from using handheld devices while receiving health care. Patients can also access their own medical records, review their medication history, and become more informed and empowered about their condition. One of the most important reasons why PDAs and other portable electronic devices are being integrated into the healthcare setting is that they have the potential to reduce medical errors significantly. Huang (n.d.) points out the use of PDAs for promoting "greater awareness of medical errors," (Huang, n.d., p. 11). Medical error rates are staggering in the United States alone, with as many as 98,000 deaths per year are occurring due to error (Huang, n.d., p. 11). The cost of medical errors has been estimated to be around $15 billion (Huang, n.d., p. 11). With PDAs, the information is stored legibly and clearly, with the ability of a number of different parties available to observe any error. Research has shown that the use of PDAs in health care is especially important in emergency settings. Prgomet, Georgiou & Westbrook (2009) found that the best benefits from using PDAs to reduce medical error is in the most critical situations: when "time is a critical factor and a rapid response crucial," (p. 792). Future research will reveal the ways in which PDAs can best be designed as specialized instruments for each medical department. Furthermore, PDAs can save health care centers and taxpayers money. The devices are generally inexpensive, especially compared with computers. Considering that up to 46% of a physician's day can be taken up with administrative duties, a PDA can greatly ease the burden of data entry and save time as well as money (Huang, n.d., p. 14). Efficiency of service delivery is ensured when all members of the health care team are connected. Because medical students are already using PDAs in their courses of study, there is almost no need for training programs. Low learning curves make it so that implementing PDA programs in the health care setting is cost-effective. Doctors and other health care workers are in fact demanding that PDAs be more available in their workplace (Huang, n.d.). There are few known barriers to using PDAs in the health care setting, even while many institutions and physicians are resisting the complete transformation to electronic health records (Garrity & El Emam, 2006). With the cost of health care rising, it makes sense to integrate technology into all aspects of care delivery in the United States. Devices Being Used Now Healthcare-specific needs are driving the PDA manufacturers to create devices that are specifically used in the healthcare setting. It is not enough to adapt an iPhone for use in a hospital. The hardware needs to have inputs for patient monitoring and other information, and the software also needs to be able to handle the vast amounts of information being transmitted over the networks. As Fornell (2008) points out, the SOTI Company is designing software for portable devices specifically for the healthcare sector. The software will facilitate interfacing with electronic medical records as well as drug databases. Conclusion: The Future The wave of the future is with wearable electronics, and patient PDA integration. Wearable devices can be used to monitor patients who are at home or in an out patient setting. This will help drive down costs of health care, while also empowering patients to be more in touch with the progress of their health. Already patients use technologies at home, such as blood pressure monitors and blood sugar monitors. The integration of PDAs into the health care regime makes sense, especially given that many patients already have smartphones. Alerndar & Ersoy (2010) point out that wireless sensors are saving patient lives, and that these types of devices can be linked with PDAs for better patient monitoring. PDAs can also be used for feedback. Health care institutions need to know what they can do to make the patient experience better. Using PDAs, patients can fill in surveys that offer suggestions to health care institutions. Family members can do the same using their personal smartphones and other devices. Using smartphones, patients can also keep health diaries that they can share with nurses and members of their team for improved case management. Seniors can use PDAs or smartphones for medication alerts and for timed clinic visits. Home monitoring will also send data electronically to health care providers. Kato (2010) claims that games will also be increasingly integrated into the PDA repertoire of health care for patients and for health care workers. Games can be used as training modules for health care workers, and they can also be used to teach patients about proper health care such as exercise or meditation. Integrating portable devices with electronic medical records is the next major step forward. Medical records are also linked to billing, which can be extremely complex given the number of stakeholders involved including insurance companies. However, it is becoming unavoidable to digitalize all patient data, to reduce medication and other medical errors. Using portable devices ensures accuracy of information, speed of information sharing, and ease of accessing the health care system. References Alerndar, H. & Ersoy, C. (2010). Wireless sensor networks for healthcare. Computer Networks 54(15): 2688-2710. Fornell, D. (2008). PDAs bring hand-held solutions to healthcare. Acuity Care Technology. Retrieved online: http://www.soti.net/PDF/PDAsBringHandHeldSolutionsToHealthcare_Article.pdf Garritty, C. & El Emam, K. (2006). Who's using PDAs? Journal of Medical Internet Research 8(2). Huang, V.W. (n.d.). PDAs in medicine. Power Point Presentation Retrieved Kato, P.M. (2010). Video games in health care. Review of General Psychology 14(2): 113-121. Prgomet, M., Georgiou, A. & Westbrook, J. (2009). The impact of mobile handheld technology on hospital physicians' work practices and patient care. J Am Med Inform Assoc 2009;16:792-801 doi:10.1197 Wiggins, R.H. (2004). Personal digital assistants. Journal of Digital Imaging 17(1): 5-17. Read the full article

[global-research-report]

Revolutionizing Data Storage: An In-Depth Analysis of the Database Management System Market

The global database management system market size was estimated at USD 100.79 billion in 2023 and is expected to grow at a CAGR of 13.1% from 2024 to 2030. Organizations across industries are undergoing digital transformation to enhance their operations, customer experiences, and business models. This transformation requires advanced DBMS solutions to manage complex data environments effectively. In addition, the exponential increase in data generation from various sources, including social media, IoT devices, and enterprise applications, necessitates robust database management system (DBMS) solutions to manage, store, and analyze this vast amount of data.

The increasing importance of big data analytics for decision-making and gaining competitive insights is driving the demand for the DBMS market. Advanced analytics and real-time data processing capabilities are essential for extracting value from big data. The shift towards cloud computing is a significant driver for the DBMS market. Cloud-based DBMS solutions offer scalability, flexibility, and cost-efficiency, making them efficient for businesses of all sizes. Furthermore, the integration of artificial intelligence and machine learning technologies in DBMS enhances data processing, management, and analysis capabilities. AI-powered DBMS can automate tasks, provide predictive insights, and improve overall efficiency.

The rise of NoSQL databases, which are designed for unstructured data and scalable, distributed systems, is driving market growth. These databases are particularly popular in various applications such as social media, e-commerce, and big data analytics. The adoption of microservices architecture in software development requires flexible and scalable DBMS solutions to manage data across distributed environments. Advancements in DBMS technology, such as in-memory databases and distributed databases, offer improved performance and scalability.

Global Database Management System Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global database management system market report based on type, deployment, organization size, vertical, and region:

Type Outlook (Revenue, USD Million, 2017 - 2030)

Relational

Non-relational

Deployment Outlook (Revenue, USD Million, 2017 - 2030)

Cloud

On-premises

Organization Size Outlook (Revenue, USD Million, 2017 - 2030)

Large Enterprises

SMEs

Vertical Outlook (Revenue, USD Million, 2017 - 2030)

BFSI

IT & Telecom

Retail & E-commerce

Healthcare & Life Sciences

Government

Manufacturing

Media & Entertainment

Others

Regional Outlook (Revenue, USD Million, 2017 - 2030)

North America

US

Canada

Mexico

Europe

UK

Germany

France

Asia Pacific

China

India

Japan

Australia

South Korea

Latin America

Brazil

MEA

UAE

South Africa

KSA

Key Database Management System Companies:

The following are the leading companies in the database management system market. These companies collectively hold the largest market share and dictate industry trends.

Amazon Web Services

Google Cloud

International Business Machines Corporation

Microsoft

MongoDB, Inc.

Oracle

Redis

SAP SE

Snowflake Inc.

Teradata

Order a free sample PDF of the Database Management System Market Intelligence Study, published by Grand View Research.

[aisoftwaretesting]

Scalability Testing: Automating for Performance and Growth

In today’s digital-first world, applications must be designed to handle growth — whether it’s an increase in users, data, or transactions. Scalability testing is a critical practice that ensures your application can scale seamlessly without compromising performance. However, as systems grow more complex, manual scalability testing becomes impractical. This is where automation, powered by tools like Genqe.ai, comes into play, enabling organizations to test for scalability efficiently and effectively.

What is Scalability Testing?

Scalability testing evaluates an application’s ability to handle growing workloads by measuring its performance under increasing demand. The goal is to identify bottlenecks, ensure system stability, and validate that the application can scale horizontally (adding more machines) or vertically (adding more resources to a single machine).

Challenges in Scalability Testing

Complex Test Environments Simulating real-world scalability scenarios requires complex test environments that mimic production systems.

Resource Intensive Scalability testing often demands significant computational resources, which can be costly and time-consuming.

Dynamic Workloads Applications face unpredictable workloads, making it difficult to design tests that cover all scenarios.

Identifying Bottlenecks Pinpointing performance bottlenecks in a distributed system can be challenging without the right tools.

How Genqe.ai Simplifies Scalability Testing

Genqe.ai is an AI-powered automation testing tool designed to address the challenges of scalability testing. Here’s how it helps organizations automate scalability testing for performance and growth:

1. Simulating Real-World Workloads

AI-Driven Load Generation: Genqe.ai uses AI to simulate realistic workloads, including peak traffic, sudden spikes, and gradual growth, ensuring comprehensive testing.

Customizable Scenarios: The tool allows you to define and customize test scenarios based on your application’s unique requirements.

2. Automating Test Execution

End-to-End Automation: Genqe.ai automates the entire scalability testing process, from test creation to execution and reporting.

Continuous Testing: Integrate Genqe.ai with your CI/CD pipeline to run scalability tests automatically whenever changes are made to the application.

3. Identifying Performance Bottlenecks

Real-Time Monitoring: The tool provides real-time insights into system performance, helping you identify bottlenecks in CPU usage, memory, network latency, and database queries.

Root Cause Analysis: Genqe.ai uses AI to analyze performance data and pinpoint the root cause of scalability issues, enabling faster resolution.

4. Scaling Test Environments

Cloud-Native Support: Genqe.ai integrates with cloud platforms to dynamically scale test environments, ensuring you have the resources needed for large-scale testing.

Cost Optimization: The tool optimizes resource usage, reducing the cost of scalability testing without compromising accuracy.

5. Predictive Analytics for Growth

Forecasting Future Demand: Genqe.ai uses predictive analytics to forecast future scalability requirements based on historical data and growth trends.

Proactive Recommendations: The tool provides actionable recommendations to improve scalability, such as optimizing code, upgrading infrastructure, or reconfiguring load balancers.

6. Comprehensive Reporting

Detailed Performance Metrics: Genqe.ai generates detailed reports on response times, throughput, error rates, and resource utilization.

Visual Dashboards: Use the tool’s intuitive dashboards to track scalability metrics and share insights with stakeholders.

Benefits of Using Genqe.ai for Scalability Testing

Improved Performance: Identify and resolve scalability issues before they impact users.

Cost Efficiency: Optimize resource usage and reduce the cost of scalability testing.

Faster Time-to-Market: Automate testing processes to accelerate release cycles.

Future-Proofing: Ensure your application is prepared for future growth and demand.

Enhanced User Experience: Deliver a seamless experience even during peak usage.

Best Practices for Scalability Testing with Genqe.ai

Start Early: Incorporate scalability testing into the development lifecycle to catch issues early.

Test Incrementally: Begin with small-scale tests and gradually increase the workload to identify breaking points.

Monitor Key Metrics: Focus on critical performance indicators like response time, throughput, and error rates.

Leverage AI Insights: Use Genqe.ai predictive analytics to anticipate future scalability needs.

Collaborate Across Teams: Involve developers, testers, and operations teams in scalability testing to ensure a holistic approach.

Conclusion

Scalability testing is essential for ensuring that your application can grow with demand while maintaining optimal performance. With Genqe.ai, organizations can automate scalability testing, making it faster, more efficient, and more accurate. By leveraging AI-driven capabilities like realistic workload simulation, real-time monitoring, and predictive analytics, Genqe.ai empowers teams to build scalable, high-performing applications that can handle the challenges of growth.

As businesses continue to scale their digital operations, tools like Genqe.ai are setting the standard for scalability testing, enabling organizations to deliver reliable, high-quality software that meets the demands of today’s dynamic market.

[sizzlelove]

YouTubegate - The Iceberg Unveiled

The Iceberg Theory is a theory that relates to the hidden traits of personality and beliefs. These can include childhood traumas, suppressed memories as well as unfulfilled desires. The recent controversy over YouTube videos that are classified as children's content, and the subsequent 'Elsagate controversy highlights these unexplored deeps. It also illustrates the implications of monetisation and algorithmic classification on the content of culture. What exactly is YouTubegate? YouTube is always a strange place. While it has many channels focused on nursery rhymes, cartoons and toys unboxing but it also hosts an abundance of offensive content that is largely unnoticed. In the year 2017, a few sceptical Reddit users raised the alarm about a bizarre trend that was surfacing on YouTube. Videos featuring animated characters like Peppa Pig, Spider-man, Elsa from Frozen and others performing obscene or violent acts were appearing on YouTube. These videos combine well-known characters with taboo phrases (such as urine and feces) and the brand's name to make them very appealing to kids. It's a type of grotesque entertainment which capitalizes on children's interest in the darker sides of their favorite TV shows and movies. These videos are usually 'gated which means that viewers must provide their email address or any other information to be able be able to view them. This could be a great way to build a database of potential customers to use for future marketing. What is the Adpocalypse? YouTube Adpocalypse is the term that describes a time in which content creators' revenue from advertising dropped drastically. The YouTube Adpocalypse started in the early part of 2017 when advertisers stopped buying YouTube ads due to them being put on videos that promoted extreme beliefs, or simply were controversial in tone. In in response, YouTube tightened up its monetization guidelines. The new policy was designed to exclude channels from the ecosystem that is supported by ads when they break the rules of the platform. The channels that were demonetized included conservative content producers such as Black Pigeon Speaks and Steven Crowder. Demonetization was also applied to numerous Norwegian survivalist musicians and writers. One of the latter (Varg Vikernes), had his account shut down.

The new policies were viewed by a large portion of the creator community as being anti-conservative. This, along with the negative reaction to ads on content that is deemed to be predatory for children led to many creators' ad revenue to fall significantly. It was seen by some as an attempt to censor the free speech available on YouTube. What exactly is ElsaGate? ElsaGate the term, invented on Reddit by users, is a reference to a series of disturbing YouTube videos that feature prominent characters from television and other media in inappropriate situations for children. Videos that break the established guidelines or employ logos without permission are included. These channels have many millions of subscribers and can make huge sums of cash via automated advertisements. This trend came to prominence in the latter half of 2017 when an article was published about parents discovering that their child had viewed a video which showed Peppa Pig getting her teeth extracted by a savage dentist. Some videos depict popular characters such as Spiderman, Frozen Elsa and other characters being abused or beaten. YouTube's algorithms have placed the videos in the recommended auto-play feed, that attracts millions of people. They are so popular that they've been downloaded on other channels, even after they were removed for violating YouTube's rules. These videos continue to bring in huge revenue. What's the Future of YouTube? YouTube is now a major platform because it updates itself and incorporates the most popular features of other video sites. YouTube has created superstars out of those who share their knowledge or open up about their experiences and provided a home for specialized communities that might not have had a chance to be heard elsewhere. The company is not without faults. Its algorithm used to boost engagement can actually alter the way people view content, by recommending more and more extreme videos. However, its moderators haven't always been up to the task. The copyright restrictions on YouTube can make it difficult for content creators to earn a profit. While it has made improvements over the last few years, it still needs to shut down abusive users and stop its system from automatically claiming that it has violated copyright rights in almost any subject. It must also find ways to compete against TikTok and other streaming platforms that are challenging its monopoly of streaming entertainment. It could be as simple as the addition of livestreaming capabilities or immersive experiences using new technology like virtual reality. Watch the video here

[letthelovefly]

In September 2024, my field recording based composition, 'To market to market' was published as part of the Cities and Memory Migration podcast and global sound map . My work was one of 120 all created from a database of field recordings, interpreted to depict a migration experience in some way.

The full works were shared as an interactive installation at the Pitt Rivers museum in Oxford in November 2024 in collaboration with the Centre on Migration, Policy and Society (COMPAS), University of Oxford.

You can explore the full Migration sound project here:

[harshnews]

Relational Database Market Size, Share, Trends, Growth and Competitive Outlook

"Global Relational Database Market – Industry Trends and Forecast to 2031

Global Relational Database Market, By Type (In-Memory, Disk-Based, and Others), Deployment (Cloud-Based, and On-Premises), End User (BFSI, IT and Telecom, Retail and E-commerce, Manufacturing, Healthcare, and Others) - Industry Trends and Forecast to 2031.

Access Full 350 Pages PDF Report @

**Segments**

- **Deployment Type**: The relational database market can be segmented based on deployment type into on-premises and cloud-based solutions. On-premises deployment involves hosting databases within the organization's physical infrastructure, providing full control over data management and security. Cloud-based solutions, on the other hand, offer scalability and flexibility through remote database hosting on third-party servers.

- **Organization Size**: Another significant segmentation of the relational database market is based on organization size, including small and medium-sized enterprises (SMEs) and large enterprises. SMEs may opt for cost-effective and easy-to-manage database solutions, while large enterprises often require more robust and scalable options to handle complex data operations at scale.

- **End-User Industry**: The relational database market can also be segmented by end-user industry, such as healthcare, banking and finance, retail, IT and telecommunications, and others. Each industry may have unique data management requirements and compliance standards, influencing the choice of relational database solutions that best suit their specific needs.

**Market Players**

- **Oracle Corporation**: A prominent player in the relational database market, Oracle offers a range of database solutions, including Oracle Database, a popular relational database management system (RDBMS) known for its performance, scalability, and security features.

- **Microsoft Corporation**: With offerings like Microsoft SQL Server, Microsoft is a key player in the relational database market, providing enterprises with robust database management solutions that integrate seamlessly with its suite of business applications and services.

- **IBM Corporation**: IBM is another major player in the relational database market, offering IBM Db2, a reliable RDBMS known for its advanced data security features, high availability, and support for complex data structures and queries.

- **SAP SE**: Known for its enterprise software solutions, SAP provides SAP HANA, an in-memory database management system that combines relational database capabilities with real-time analytics and application development tools, catering to the evolving data needs of modern businesses.

https://www.databThe relational database market is a dynamic and competitive landscape with various segments driving growth and innovation. Deployment type segmentation between on-premises and cloud-based solutions reflects the evolving trends in data management. On-premises solutions cater to organizations seeking complete control over data security and compliance, while cloud-based solutions offer scalability and flexibility to meet the ever-changing demands of modern businesses. This segmentation highlights the importance of considering factors such as data sovereignty, cost-effectiveness, and agility when selecting the appropriate deployment model for relational database solutions.

Organization size is another critical segment shaping the relational database market, with small and medium-sized enterprises (SMEs) seeking cost-effective and easy-to-manage solutions to support their business operations. In contrast, large enterprises require robust and scalable relational database options to handle massive datasets and complex data processing needs. This segmentation underscores the diverse requirements of businesses based on their size and operational complexity, driving the demand for tailored database solutions that can scale alongside their growth and development strategies.

Furthermore, end-user industry segmentation in the relational database market highlights the specific data management challenges faced by sectors such as healthcare, banking and finance, retail, IT, and telecommunications. Each industry has unique regulatory requirements, data security concerns, and performance expectations that influence their choice of relational database solutions. For instance, industries like healthcare and banking require high levels of data security and compliance, whereas retail and IT sectors may prioritize real-time analytics and customer engagement capabilities. This segmentation emphasizes the importance of developing industry-specific database solutions that address the specific needs and challenges faced by different sectors.

When analyzing the key market players in the relational database segment, notable companies such as Oracle Corporation, Microsoft Corporation, IBM Corporation, and SAP SE stand out for their innovative database solutions catering to diverse customer needs. Oracle's Oracle Database is renowned for its performance and security features, positioning the company as a leader in the relational database market. Microsoft's SQL Server offers robust database management capabilities integrated with its suite of business applications, providing a seamless and comprehensive solution for enterprises**Global Relational Database Market**

- The Global Relational Database Market is segmented by type into In-Memory, Disk-Based, and others, catering to the varied data processing and storage needs of businesses across industries. These segmentation categories offer different capabilities and performance characteristics to address specific data management requirements effectively.

- Deployment options in the Global Relational Database Market include Cloud-Based and On-Premises solutions, reflecting the shift towards cloud-based infrastructures for enhanced scalability and flexibility in data management. Cloud-based deployment models support remote access, seamless integration, and cost-effective scaling of database resources, aligning with modern businesses' dynamic operational needs.

- End-users sectors such as BFSI, IT and Telecom, Retail and E-commerce, Manufacturing, Healthcare, and others drive the demand for specialized relational database solutions tailored to their industry-specific requirements. Each sector has unique data management challenges and regulatory compliance standards, necessitating the adoption of relational database systems that can meet sector-specific demands effectively.

The Global Relational Database Market is witnessing significant growth and innovation driven by the diverse segmentation factors influencing the market landscape. The type segmentation between In-Memory, Disk-Based, and other relational database solutions provides businesses with options to choose the most suitable platform for their data processing and storage needs. Moreover, the deployment segmentation into Cloud-Based and On-Premises solutions reflects the evolving trends in data management, emphasizing the importance of scalability, flexibility, and security in database operations.

Furthermore, the end-user segmentation in sectors like BFS

Relational Database Key Benefits over Global Competitors:

The report provides a qualitative and quantitative analysis of the Relational Database Market trends, forecasts, and market size to determine new opportunities.

Porter’s Five Forces analysis highlights the potency of buyers and suppliers to enable stakeholders to make strategic business decisions and determine the level of competition in the industry.

Top impacting factors & major investment pockets are highlighted in the research.

The major countries in each region are analyzed and their revenue contribution is mentioned.

The market player positioning segment provides an understanding of the current position of the market players active in the Personal Care Ingredients

Table of Contents: Relational Database Market

1 Introduction

2 Market Segmentation

3 Executive Summary

4 Premium Insight

5 Market Overview

6 Relational Database Market, by Product Type

7 Relational Database Market, by Modality

8 Relational Database Market, by Type

9 Relational Database Market, by Mode

10 Relational Database Market, by End User

12 Relational Database Market, by Geography

12 Relational Database Market, Company Landscape

13 Swot Analysis

14 Company Profiles

The investment made in the study would provide you access to information such as:

Relational Database Market [Global – Broken-down into regions]

Regional level split [North America, Europe, Asia Pacific, South America, Middle East & Africa]

Country wise Market Size Split [of important countries with major market share]

Market Share and Revenue/Sales by leading players

Market Trends – Emerging Technologies/products/start-ups, PESTEL Analysis, SWOT Analysis, Porter’s Five Forces, etc.

Market Size)

Market Size by application/industry verticals

Market Projections/Forecast

Critical Insights Related to the Relational Database Included in the Report:

Exclusive graphics and Illustrative Porter’s Five Forces analysis of some of the leading companies in this market

Value chain analysis of prominent players in the market

Current trends influencing the dynamics of this market across various geographies

Recent mergers, acquisitions, collaborations, and partnerships

Revenue growth of this industry over the forecast period

Marketing strategy study and growth trends

Growth-driven factor analysis

Emerging recess segments and region-wise market

An empirical evaluation of the curve of this market

Ancient, Present, and Probable scope of the market from both prospect value and volume

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