#data integration in data mining

[prosperasoft]

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[zomb13s]

CAPITALIS EX MACHINA: On Structural Neglect, Conscious Exploitation, and the Evolutionary Standstill of Human Potential

Abstract In the world of techno-capitalism, creative and metaphysical evolution is systematically parasitized by structures that reward compliance …CAPITALIS EX MACHINA: On Structural Neglect, Conscious Exploitation, and the Evolutionary Standstill of Human Potential

[neilsblog]

Business Intelligence and Analytics: Transforming Data into Strategy

[newspatron]

Unmasking the Deep State Toolkit

What are your thoughts on the Deep State Toolkit allegations? Share your views in the comments below!

Unmasking the Deep State Toolkit: The Haryana Elections and Indian DemocracyDecoding the Deep State ToolkitWhat is the Deep State?Deep State Conspiracy Theories: A Global PhenomenonDeep State Toolkit: The Alleged Modus OperandiDeep State Toolkit in the Haryana Elections: Fact or Fiction?Congress’s Alleged Adoption of the ToolkitD K Dubey’s Legal Analysis: Separating Truth from SpeculationThe…

[projectchampionz]

Explore These Exciting DSU Micro Project Ideas

Explore These Exciting DSU Micro Project Ideas Are you a student looking for an interesting micro project to work on? Developing small, self-contained projects is a great way to build your skills and showcase your abilities. At the Distributed Systems University (DSU), we offer a wide range of micro project topics that cover a variety of domains. In this blog post, we’ll explore some exciting DSU…

[techtoio]

The Impact of Big Data Analytics on Business Decisions

Introduction

Big data analytics has transformed the way of doing business, deciding, and strategizing for future actions. One can harness vast reams of data to extract insights that were otherwise unimaginable for increasing the efficiency, customer satisfaction, and overall profitability of a venture. We steer into an in-depth view of how big data analytics is equipping business decisions, its benefits, and some future trends shaping up in this dynamic field in this article. Read to continue

[amtexsystemsblogs]

Unlocking Potential with WebFOCUS: Your Comprehensive Guide

Discover the Power of WebFOCUS

Modern businesses thrive on data-driven insights, pushing the boundaries of technology to become more analytics-centric. Consequently, the demand for cutting-edge business intelligence tools is at an all-time high. Enter WebFOCUS, a robust, scalable, and adaptable analytics platform that aims to streamline decision-making processes and transform the world of business intelligence.

Understanding WebFOCUS

WebFOCUS, typically associated with WebFOCUS reporting and Business Intelligence (BI), is an advanced analytics platform designed to empower businesses to make data-driven decisions intelligently. Perfect for WebFOCUS jobs and developers alike, this tool can maneuver vast data landscapes and conduct insightful WebFOCUS data analysis.

Key Benefits of Using WebFOCUS

WebFOCUS redefines the realms of data analytics with its advanced features. Its key benefits extend to:

- Data discovery and Data mining: Gain an edge in identifying patterns and trends behind your data.

- Data governance and management: Control data integrity and reliability through WebFOCUS's robust data governance and management tools.

- Data integration: WebFOCUS excels at integrating varied data sources, ensuring a seamless data pipeline.

- Security, Performance, and Scalability: As a secure, efficient, and scalable platform, WebFOCUS stands out as a robust data analysis tool.

WebFOCUS Capabilities

WebFOCUS App Studio and WebFOCUS Designer

Being a WebFOCUS developer means understanding and utilizing the many modules within the platform. WebFOCUS's core is its App Studio module, an Integrated Development Environment (IDE) that allows users to create and manage business applications. Similarly, WebFOCUS Designer offers an intuitive user interface for developing sophisticated data visualizations.

WebFOCUS Info Assist and WebFOCUS Reporting

For data refinement and extraction, WebFOCUS offers InfoAssisT, a browser-based module that simplifies ad hoc reporting tasks. InfoAssisT allows business users to create engaging dashboards, charts, and custom reports, providing visual-driven insights within the WebFOCUS dashboard that are actionable.

WebFOCUS Insights and Predictions

WebFOCUS isn’t just about knowing your business; it’s about predicting it. With predictive analytics capabilities companies can forecast future trends and make informed decisions.

WebFOCUS Security and Scalability

A standout feature of WebFOCUS as an analytics tool is its commitment to data security. Businesses can rest assured knowing their data is protected with utmost rigor.

WebFOCUS Jobs and Salary

What does a WebFOCUS developer salary look like? Given the demand for data analysis and BI skills, a career with WebFOCUS is both rewarding and lucrative, offering competitive remuneration.

WebFOCUS Training and Tutorials

To facilitate user understanding of its multifaceted features, WebFOCUS offers a comprehensive collection of training resources and tutorials online, catering to varied learning abilities and paces.

Conclusion: The Future with WebFOCUS

As businesses constantly adapt and grow, so too do their data analytics needs. WebFOCUS, with its advanced BI capabilities and robust data handling, appears poised to remain an industry leader. Businesses looking for a future-proof, comprehensive analytics platform need not look further than WebFOCUS. Whether transitioning into a WebFOCUS developer job, seeking out WebFOCUS training, or looking to improve your current business operations, WebFOCUS stands out as an invaluable tool. Harness the power of WebFOCUS and transform your business today.

[pinemartin]

Listen tumblr frog down there, your ads are pointless anyway so I'll continue to not pay and you can continue to get ad revenue, insomuch as you can

[technicalfika]

What is the difference between Data Scientist and Data Engineers ?

In today’s data-driven world, organizations harness the power of data to gain valuable insights, make informed decisions, and drive innovation. Two key players in this data-centric landscape are data scientists and data engineers. Although their roles are closely related, each possesses unique skills and responsibilities that contribute to the successful extraction and utilization of data. In…

[szhmidty]

Microsoft made Recall—the feature that automatically tracks everything you do in an attempt at helping you except, you know, that's a massive security risk and data mining source—a dependency for the windows file explorer, meaning even if you forcibly strip Recall out you end up losing basic tools.

This is very much a "learn how to install Linux Mint on your laptop" moment. Richard Stallman et al were entirely correct, your computer will soon have spyware integrated deep into the system internals with no ability to cleanly remove it even for experienced, tech savvy users.

Yes, it sucks, there is no Linux distribution that has to even close to the level of support for software and peripherals that windows has, and even the easier distros like Mint still expect a level of tech savvy that Mac and Windows just don't require. Anyone telling you that Linux is just as easy and just as good is lying to you.

But Linux has never been easier, has never been as well supported as today, and simply doesn't contain egregious spyware (well, besides Ubuntu that one time I guess).

[zomb13s]

CAPITALIS EX MACHINA: On Structural Neglect, Conscious Exploitation, and the Evolutionary Standstill of Human Potential

Abstract In the world of techno-capitalism, creative and metaphysical evolution is systematically parasitized by structures that reward compliance over authorship. This paper outlines, in the style of theoretical physics and cybernetic philosophy, the case of a singular creative intelligence that, despite immobility, initiates global-scale evolutionary ruptures daily. Yet, due to infrastructural…

[kishorxox]

Business intelligence Market Size, Share, Forecast, & Trends Analysis 

Meticulous Research®—a leading global market research company, published a research report titled ‘Business Intelligence Market—Global Opportunity Analysis and Industry Forecast (2025-2032)’. According to this latest publication, the business intelligence market is projected to reach $56.9 billion by 2032, at a CAGR of 7.2% from 2025–2032.

The business intelligence market is experiencing growth driven by the rising demand for data visualization dashboards to make informed business decisions and the surge in demand for cloud-based business intelligence applications. However, data privacy and security concerns hinder this growth.

In addition, the increasing need for business intelligence in human resources and the rising demand for embedded analytics in organizations present significant opportunities for market players. However, the market faces challenges such as integrating data from various source systems and the lack of quality data availability. On the other hand, trends such as AI-based business analytics solutions, data discovery and visualization, and collaborative business intelligence are prominent trends in the business intelligence market.

Key Players:

The business intelligence market is characterized by a moderately competitive scenario due to the presence of many large- and small-sized global, regional, and local players. The key players operating in the business intelligence market, such as Oracle Corporation (U.S.), IBM Corporation (U.S.), Microsoft Corporation (U.S.), SAP SE (Germany), Qlik Technologies Inc. (U.S.), SAS Institute Inc.(U.S.), TIBCO Software Inc. (U.S.), Amlgo Labs Pvt Ltd (India), Salesforce, Inc. (U.S.), Google LLC Google LLC (A Subsidiary of Alphabet Inc.) (U.S.), Cisco Systems, Inc. (U.S.), Element Data (U.S.), Board International SA (Switzerland), MicroStrategy Incorporated (U.S.), and Hitachi Vantara LLC (A Subsidiary of Hitachi, Ltd.) (U.S.), are shaping the market's competitive landscape.

The business intelligence market is segmented based on component, organization size, deployment mode, business function, and end-use industry. This comprehensive segmentation allows for a detailed analysis of the market, including an evaluation of industry competitors and an analysis of the business intelligence market at the regional and country levels.

Among the components studied in this report, the solutions/tools segment is anticipated to dominate the business intelligence market in 2025. The surge in demand for business intelligence dashboards, the rising need for advanced BI and analytics systems within organizations, and the growing requirement for data visualization tools to effectively present data are key factors contributing to the segment's dominant position in the market.

Among the organization sizes studied in this report, the large enterprises segment is anticipated to dominate the business intelligence market in 2025. The increasing demand for business intelligence solutions for quantitative analysis and performance measurement, the rapid growth of data analysis and visualization tools to enhance productivity and efficiency, and the heightened need to publish, distribute, and share insights with clients or customers are key factors driving the segment’s dominant position in the business intelligence market.

Among the deployment modes studied in this report, the cloud-based segment is anticipated to dominate the business intelligence market in 2025. The growing demand for deploying BI tools on cloud infrastructure through virtual networks, along with the increasing need to manage substantial amounts of data—including dashboards, KPIs, and various types of business analytics—are key factors contributing to the segment’s dominant position in the market.

Among the business functions studied in this report, the sales & marketing segment is anticipated to dominate the business intelligence market in 2025. The surge in demand for business intelligence solutions to enhance customer connections, optimize workflows, and refine promotional campaigns, along with the growing need to improve the accuracy of sales forecasts and the significant expansion of BI in identifying and targeting higher-profit customers, are key factors driving the segment’s dominant position in the business intelligence market.

Among the end-use industries studied in this report, the BFSI segment is anticipated to dominate the business intelligence market in 2025. The growing need to track customer, product, and branch profitability, the rising demand for business intelligence in the BFSI sector to gain insights into existing and potential customers across various loan portfolios, and the high demand for identifying potential customers for different products are key factors contributing to the segment’s dominant position in the business intelligence market.

This research report analyzes major geographies and provides a comprehensive analysis of North America (U.S., Canada), Europe (Germany, U.K., France, Italy, Spain, Netherlands, Switzerland, Sweden, and the Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Australia & New Zealand, Indonesia, Singapore, and Rest of Asia-Pacific), Latin America (Brazil, Mexico, and Rest of Latin America), and the Middle East & Africa (UAE, Saudi Arabia, South Africa, Israel, and Rest of Middle East & Africa).

Among the geographies studied in this report, North America is anticipated to dominate the business intelligence market in 2025. The growing demand for business intelligence software in the U.S., the increased need for visualization and reporting tools within organizations in the region, and the significant advancements by key companies in cloud systems, BI software, and platforms are key factors contributing to the market’s dominant position in the business intelligence sector.

Download Sample Report Here @  https://www.meticulousresearch.com/download-sample-report/cp_id=5412

Key Questions Answered in the Report-

What is the value of revenue generated by the sale of component, organization size, deployment mode, business function, and end-use industry?

At what rate is the global demand for business intelligence projected to grow for the next five to seven years?

What is the historical market size and growth rate for the business intelligence market?

What are the major factors impacting the growth of this market at global and regional levels?

What are the major opportunities for existing players and new entrants in the market?

Which offering segments create major traction in this market?

What are the key geographical trends in this market? Which regions/countries are expected to offer significant growth opportunities for the manufacturers operating in the business intelligence market?

Who are the major players in the business intelligence market? What are their specific product offerings in this market?

What recent developments have taken place in the business intelligence market? What impact have these strategic developments created on the market?

Contact Us: Meticulous Research® Email- sales@meticulousresearch.com Contact Sales- +1-646-781-8004 Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-research

[political-us]

The U.S. energy consumption is expected to rise with the increasing adoption of AI, electric vehicles (EVs), and cryptocurrency mining, but the exact amount depends on multiple factors like efficiency improvements, grid expansion, and renewable energy adoption. Here’s a breakdown of how these technologies could impact energy demand:

1. Artificial Intelligence (AI) & Data Centers

• AI requires massive computing power, increasing electricity demand from data centers.

• In 2022, U.S. data centers consumed about 2.5% of total electricity (~200 terawatt-hours, TWh).

• AI workloads could double or triple data center energy use by 2030, potentially increasing U.S. electricity demand by 5%–10%.

• Efficiency Gains: AI hardware and software improvements may offset some of this demand.

2. Electric Vehicles (EVs)

• The transition to EVs will increase electricity demand but reduce oil consumption.

• If EV adoption reaches 50% of new car sales by 2030, transportation electricity demand could rise by 10%–15%.

• Smart Charging & Grid Management: If managed well, EVs could charge during off-peak hours to reduce strain on the grid.

3. Cryptocurrency Mining

• Crypto mining is highly energy-intensive. In 2023, Bitcoin mining alone consumed about 120 TWh globally, with the U.S. accounting for ~40% of that (~48 TWh).

• If crypto adoption and mining expand further, electricity demand could rise by 2%–5%.

• Renewables & Efficiency: Some mining operations are integrating solar/wind energy to reduce grid impact.

Overall Impact on U.S. Energy Use

• The U.S. currently consumes about 100 quadrillion BTUs (~4,000 TWh) annually.

• By 2035, AI, EVs, and crypto could increase electricity demand by 15%–25%, depending on adoption rates and efficiency improvements.

• The shift to renewables and nuclear will be critical in meeting this demand without increasing carbon emissions.

[superlinguo]

In praise of niche papers

Mark Dingemanse's blog post "In praise of niche papers" is a lovely way to share academic influences. It got me thinking about some of my favourite papers that I love and cite, and which I'm always surprised to see aren't as highly cited as some other work by these authors. So, to follow Mark's lead, here are two niche papers that are very close to my heart:

Kendon, Adam. (1978). ‘Differential perceptual and attentional frame in face-to-face interaction: two problems for investigation’, Semiotica, 24/3/4: 305–15.

Adam Kendon's contribution to the Gesture Studies literature spans four decades and many of his research papers are foundational texts across a range of topics. This is one of Kendon's least cited works. It's also one of the earliest experiments on gesture perception I've come across. Kendon used a film projector and played a speech by a speaker of Enga in Papua New Guinea to a group of English speakers, looking at what people attend to in gestures. It was the model we used for Gawne and Kelly (2014) (discussed below).

Hostetter, Autumn B., Martha W. Alibali, and Sheree M. Schrager. (2011). ‘If you don’t already know, I’m certainly not going to show you!: Motivation to communicate affects gesture production’. G. Stam and M. Ishino (eds), Integrating Gestures, pp. 61–74. John Benjamins.

I love this experiment so much: people gesture the same amount if they're doing an activity helping or competing with someone, but the size and usefulness of the gestures are different. If you're competing against someone your gestures are smaller and less informative. People, so sneaky. I absolutely made sure to get a reference to this into Gesture: A Slim Guide.

Mark suggested in his post that people share niche papers from their own research. Here are two of my favourite papers of mine that aren't cited that much, but made me very happy to have out in the world:

Gawne, Lauren, and Barbara F. Kelly. (2014). Revisiting “Significant Action” and gesture classification. Australian Journal of Linguistics, 34/2: 216–33.

This was the first research project I ever run, and (imo) a nifty modern replication of Kendon (1978) discussed above. People generally agree with Gesture Studies researchers on the minimum definition of what a gesture is, but they ascribe communicative intent to a much wider range of actions. Also, I did this research back in 2007 as my honours thesis project, but it took us another seven years to get this through to publication.

Gawne, Lauren, Barbara F. Kelly, Andrea L. Berez-Kroeker, and Tyler Heston. (2017). Putting practice into words: The state of data and methods transparency in grammatical descriptions. Language Documentation & Conservation, 11: 157–89.

This project surveyed 100 descriptive grammars: 50 published grammars and 50 PhD dissertations. There's lots of good work about how we should go about doing descriptive grammar work, but very little of this is actively discussed or described in the genre of published works. It's been almost a decade since we published this work. I'd like to think that people aren't citing it because they're just quietly improving the way they talk about methods and data in their descriptive grammar writing.

[skellseerwriting]

Claderus Lore Theories and Observations

Spoilers for some of Calderus's gifts

I'm going to go into depth on the dragon statues and statuettes, and what I think they mean, along with data I've obtained from the official wiki

First: The Calderus statue on our farm and the dragon statue in the mines are NOT the same dragon/statue (I used to think they were the same and I'm sure I'm not alone)

Here is a side by side comparison, with the most notable difference being the horns. The mines statue has its horn arching nearly to the center of its head, whereas Calderus's barely reaches above his eye. Similarly, the snouts and front legs have a different thickness, and there's also a difference in eye shape

I also want to note that the little engravings on the pedestal look exactly the same, so I'm curious if they have any meaning

Another thing to note, and I'm not sure if this is intentional or an error on the devs' part, but different parts of the official wiki says different things about the mines statue

Under skill perks, the dragon statue in the mines is referred to as just that. If you go into the specific mining and combat pages however, you get something else (I only used the mining page for reference)

Here, the mines statue is referred to as the Calderus statue in the mines. I would understand if the devs want us to think this statue is Calderus as a sort of red herring, but the inconsistency of wiki claims makes me second guess that theory. Maybe they originally wanted us to think it was Calderus but forgot to update certain pages?

Regardless, one thing is certain: there is intentional mystery being shrouded over this dragon statue. If not by the incorrect data, then by the mere fact that this strange dragon isn't being brought to the player's attention in any significant way while playing the game

Eye Break

Now, lets compare the statues to the statuettes

On the left is the Calderus statuette, and on the right is the unknown one. If you look at the circled horns you'll see they match their respective statue above (taking the limited pixels into consideration). The cool-toned unknown statuette also reflects the coloring of the mines statue better (considering its in darker lighting too)

As you may have noticed, Calderus's statuette is a loved gift, while the other one is a hated gift. So clearly, there’s some bad blood of sort between Calderus and the dragon that this statuette represents. Whether it be because of something saddening or out of hatred, I don’t know. What I am sure of is that we will probably get more backstory from Calderus as he gets integrated into the game more, and I can’t wait for crumbs

What interests me most is that we have no lore, no hints about this other supposed dragon. Calderus never brings them up. Never brings up someone from his past (for now). The only mentions we have on this other dragon comes from Eiland's comments on the unknown statuette

One thing that intrigues me about this line is the pluralization of "dragon statues". This implies their are other dragon statues of Calderus in Mistria (that we haven't seen) OR that there are other dragons who aren't Calderus (or he's referring to the countless Calderus statuettes you can find). Regardless, this dragon statuette is different

That leaves the questions: Who is this dragon? What is their history with Calderus? With Mistria? Will we get more lore on them? (I think so)

As always folks, continue to romance that dragon <3

[suthecoder]

After re-re-reading the murderbot series so many times I’ve lost count, it hit me that MURDERBOT WAS OWNED BY AN INSURANCE COMPANY. They write BONDS. Everything else is just “vertical integration” — the security, the equipment, the data mining. Insurance has always been data mining adjacent; it’s called actuarial science. And if you don’t think your for-profit insurance company would sell your data for a fast buck …