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Network interfaces configuration in Linux

In this tutorial, I will show how to create or modify a Network interface configuration in Linux. This procedure is essential to know the network interface through which we connect to the internet or local network, as well as its connection and configuration for a new connection to the network. Read the full article
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TOEFL vs IELTS vs PTE

Everybody knows by now that obtaining a degree in abroad is tough work and will continue long before you continue submitting applications. One of the barriers to overcome is the clearance of an exam that checks your English language skills. Read the full article
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Face recognition in Python

Processing data from images is a task that requires a high level of machine learning, especially for the faces. Currently there are several libraries for face recognition in Python, where the learning process is done by the machine, through the reading of many images with some face, and their analysis in each one, to build an information network that allows us to identify faces. Read the full article
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AMD hardcore equipment to help open the new fun of home

Recently, the epidemic situation has gradually stabilized, and the people of the whole country are still unable to slack off. They insist on co-resistance against the epidemic situation. In this forced house life, doing nothing will make people unconsciously anxious. Complete self-salvation. Read the full article
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What are the main stages for producing a stellar video

Production of television commercials, event videos, corporate videos, wedding videos, and special-interest home videos is some of the reasons why you need video production. Read the full article
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How to wash your hands correctly

Although it may not seem like it, 95% of the world population does not know it (or does not), however due to the existing Covid19 pandemic, it is well known that washing hands is the most effective way to face the virus. So in this post I will show you how to wash your hands correctly. Hand washing is a more effective technique to kill viruses and bacteria, since soap produces a non-stick effect on our hands, causing all bacteria to fall, and viruses are also disintegrated, because soap destroys the fine layer of fat that allows viruses to be dormant in the hands and objects in common use, such as door handles, pencils, computers and especially in the toilet.

Fuente: https://www.who.int/gpsc/clean_hands_protection/en/ Read the full article
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Race for a nonexistent vaccine: Covid19

The number of coronavirus infections continues to grow and the WHO recognizes that the pandemic has reached a point of global uncontrol. However, the race to discover the nonexistent vaccine will drastically reduce the mortality caused by the Covid19 coronavirus. The virus has caused more than 330 thousand confirmed cases and almost 15 thousand deaths, however in almost all countries the number of infections has not yet reached a peak, which means its increase in the coming days. Read the full article
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Dell XPS 13 Review

Our wholehearted proposal of the XPS 13 consistently accompanied one little yet significant admonition. The situation of the webcam. Dell fundamentally spearheaded the hazardous nose-cam situated beneath the showcase. Presently the organization has fixed it. Read the full article
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Adding users, groups and superusers in Linux
It is easy, and very important topic: the creation of different users who have accesses with different privileges. Even though the root user is the superuser who has all the privileges within the system, it is a risk to start client services with root, since the user could start or kill services that could compromise the security of the system. Read the full article
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3 Reasons Why You Should Not Use Smartphone For Studying

In today’s world, everyone owns a smartphone regardless of any age that has become a mandatory part of life. Smartphones are being used for various purposes every day and every time as everything is done online. From online shopping to various assignment help projects, the internet has a solution to everything. Read the full article
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The evolution of relational databases: how has the evolution of big data influenced database choices?

The mention of big data has been around for years now. Blogs, data management companies, IT companies and experts have been posting about big data. What is big data? Experts say big data is everywhere. So, is every data we come across during our daily escapades big data? What qualifies as big data? How big is it in reality? How can one manage something that is so vast and diverse? Is this the end of relational database management systems (RDBMS)? We have seen for ages how new data technologies have been replacing old data technologies. Just like Macs have almost replaced desktops and smartphones have replaced flip phones, we can expect the advent of big data to call for an end to RDBMS and other traditional data management systems. Surprisingly, that is not the case. The evolution of RDBMS has ensured that big data will always find organized storage, management, and use. Microsoft SQL Server, Oracle, and MySQL, the well known and much heard names of RDBMS are going to dominate the data world a bit longer thanks to the peaceful coexistence and the powerful co-evolution of the data types and databases. Therefore, it is with certainty that big data scientists predict the coexistence of big data and conventional RDBMS for a while longer. What qualifies as big data? Right here, we should also try to explain the nature of big data and what exactly it encompasses. To learn more about the traits of big data, you can visit remotedba.com. You can technically deem any data as big data once it satisfies the three Vs – Velocity: big data grows at an exponential rate. Unstructured data from social media interactions, customer reviews, and even IoT data keeps flowing in from a myriad of sources into the database. By the end of 2025, data scientists expect a volume of over 163 zettabytes of actionable data and unstructured data. Any RDBMS that can fit these unstructured data can aspire to survive this big data rush. Volume: the amount of data that flows in every minute is quite beyond the reach of simple human comprehension. Since almost all devices, including smartphones, iPads, and FitBits generate tons of actionable data, the scalability of the RDBMS that aspires to curate big data becomes the biggest concern. Last time we checked, IoT devices were contributing to the highest volumes of big data across the world, and even the biggest data companies were updating their database management systems to accommodate the huge volumes. Variety: the traditional RDBMS could only fit a finite variety of data. They needed to reform the data into rigid formats to accommodate them and categorize them correctly. However, the sheer variety of data flowing in every minute eliminates the possibility of restructuring and formatting data into rigid forms. There is data from social networking sites, business websites, e-commerce sites and customer service teams of the same company that go into a single massive database. Big data databases can store and manage the heterogeneous data types without using cumbersome data methods. Why does a new business need big data? Any relational database appropriate for big data should also provide an army of tools and applications for regulation of data access. Along with core management and storage facilities, your data needs better security and accessibility. The inclusion of new applications and tools can help improve the user experience (UX) of the database. The database now only powers a business it also powers the website UX in one way or another. Choosing a powerful, flexible yet scalable design that can fit your big data is the only way to ensure healthy growth of your enterprise. Even the new start-ups are investing in big data, primarily because almost all businesses with an online presence require machine learning. With the help of machine learning and predictive analytics, companies can predict the future customer behavior and buy choices. This will influence their marketing “habits” and their sales pitches. Can you imagine how your ROI can increase if you found a way to predict the next week’s lead product or best performing offer? Should you opt for big data? Big data is a tool and a weapon, with which the new and old entrepreneurs are fighting the war of customer outreach, sales, and marketing. Sadly, big data is necessary for everyone but affordable for only a few. The databases that can store, use and share the astronomic quantities of data do not come cheap. In addition to the cost of setting up the structure, there is a recurring cost of maintenance that can cripple a small to medium sized corporation, yet to break even. Therefore, before leaping the shiny new thing in the market (big data), assess your present situation. Do you need big data or a new RDBMS platform? Does your business feel debilitated without big data management? Are you ready to brace an onslaught of new technologies including Hadoop and NoSQL databases? Unless the answer to these questions is a “YES,” you should reconsider your big plans. A cost-effective solution to your data troubles Several companies have been outsourcing their data needs to parties who know it the best. Several dedicated data management services exist, who can collect, organize, store and provide the data as per your company’s need. This is a much cheaper option since these companies already have dedicated structures they can leverage as per your unique needs. Some of them have their NoSQL solutions that can help you scale up with your growing volumes of data. We know data needs of a company are unavoidable. So, you should shop around a bit and find an expert remote data service that can satiate all your data needs. Big data is more manageable than you think. It might not be compulsory for the immediate success of a company, but its cost should not be the factor keeping you from adopting it. There are several open source databases and database management systems that can provide you with big data solutions. Read the full article
0 notes
Text
The evolution of relational databases: how has the evolution of big data influenced database choices?

The mention of big data has been around for years now. Blogs, data management companies, IT companies and experts have been posting about big data. What is big data? Experts say big data is everywhere. So, is every data we come across during our daily escapades big data? What qualifies as big data? How big is it in reality? How can one manage something that is so vast and diverse? Is this the end of relational database management systems (RDBMS)? We have seen for ages how new data technologies have been replacing old data technologies. Just like Macs have almost replaced desktops and smartphones have replaced flip phones, we can expect the advent of big data to call for an end to RDBMS and other traditional data management systems. Surprisingly, that is not the case. The evolution of RDBMS has ensured that big data will always find organized storage, management, and use. Microsoft SQL Server, Oracle, and MySQL, the well known and much heard names of RDBMS are going to dominate the data world a bit longer thanks to the peaceful coexistence and the powerful co-evolution of the data types and databases. Therefore, it is with certainty that big data scientists predict the coexistence of big data and conventional RDBMS for a while longer. What qualifies as big data? Right here, we should also try to explain the nature of big data and what exactly it encompasses. To learn more about the traits of big data, you can visit remotedba.com. You can technically deem any data as big data once it satisfies the three Vs – Velocity: big data grows at an exponential rate. Unstructured data from social media interactions, customer reviews, and even IoT data keeps flowing in from a myriad of sources into the database. By the end of 2025, data scientists expect a volume of over 163 zettabytes of actionable data and unstructured data. Any RDBMS that can fit these unstructured data can aspire to survive this big data rush. Volume: the amount of data that flows in every minute is quite beyond the reach of simple human comprehension. Since almost all devices, including smartphones, iPads, and FitBits generate tons of actionable data, the scalability of the RDBMS that aspires to curate big data becomes the biggest concern. Last time we checked, IoT devices were contributing to the highest volumes of big data across the world, and even the biggest data companies were updating their database management systems to accommodate the huge volumes. Variety: the traditional RDBMS could only fit a finite variety of data. They needed to reform the data into rigid formats to accommodate them and categorize them correctly. However, the sheer variety of data flowing in every minute eliminates the possibility of restructuring and formatting data into rigid forms. There is data from social networking sites, business websites, e-commerce sites and customer service teams of the same company that go into a single massive database. Big data databases can store and manage the heterogeneous data types without using cumbersome data methods. Why does a new business need big data? Any relational database appropriate for big data should also provide an army of tools and applications for regulation of data access. Along with core management and storage facilities, your data needs better security and accessibility. The inclusion of new applications and tools can help improve the user experience (UX) of the database. The database now only powers a business it also powers the website UX in one way or another. Choosing a powerful, flexible yet scalable design that can fit your big data is the only way to ensure healthy growth of your enterprise. Even the new start-ups are investing in big data, primarily because almost all businesses with an online presence require machine learning. With the help of machine learning and predictive analytics, companies can predict the future customer behavior and buy choices. This will influence their marketing “habits” and their sales pitches. Can you imagine how your ROI can increase if you found a way to predict the next week’s lead product or best performing offer? Should you opt for big data? Big data is a tool and a weapon, with which the new and old entrepreneurs are fighting the war of customer outreach, sales, and marketing. Sadly, big data is necessary for everyone but affordable for only a few. The databases that can store, use and share the astronomic quantities of data do not come cheap. In addition to the cost of setting up the structure, there is a recurring cost of maintenance that can cripple a small to medium sized corporation, yet to break even. Therefore, before leaping the shiny new thing in the market (big data), assess your present situation. Do you need big data or a new RDBMS platform? Does your business feel debilitated without big data management? Are you ready to brace an onslaught of new technologies including Hadoop and NoSQL databases? Unless the answer to these questions is a “YES,” you should reconsider your big plans. A cost-effective solution to your data troubles Several companies have been outsourcing their data needs to parties who know it the best. Several dedicated data management services exist, who can collect, organize, store and provide the data as per your company’s need. This is a much cheaper option since these companies already have dedicated structures they can leverage as per your unique needs. Some of them have their NoSQL solutions that can help you scale up with your growing volumes of data. We know data needs of a company are unavoidable. So, you should shop around a bit and find an expert remote data service that can satiate all your data needs. Big data is more manageable than you think. It might not be compulsory for the immediate success of a company, but its cost should not be the factor keeping you from adopting it. There are several open source databases and database management systems that can provide you with big data solutions. Read the full article
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