Big Data Blog

   Significant growth is projected in a variety of sectors in the near future, including data collecting and storage, market expenditure, and data analytics recruiting. First, the rate of data expansion shows no signs of slowing down. The COVID-19 epidemic boosted data creation in 2020, according to IDC's DataSphere and StorageSphere investigations. Only 2% of the 64.1 zettabytes (ZB) of data created in 2020 was retained or stored until 2021, according to IDC. According to IDC, new data generation will increase at a compound annual growth rate (CAGR) of 23% from 2020 to 2025, resulting in over 175ZB of data creation by 2025. In March 2021, Dave Reinsel, senior vice president at IDC, predicted “The amount of digital data created over the next five years will be greater than twice the amount of data created since the advent of digital storage,” "The question is, how much should be saved?" So far, the answer is: little. According to IDC, data storage is ten times slower...

Prior to 1980, corporations stored and analysed data on mainframe computers. Two important technologies had a critical role in the early creation of data centres as we know them today. The first was the advent of personal computers (PCs), which grew in popularity as Microsoft's Windows operating system became the global standard. Sun Microsystems' invention of the network system protocol, which allowed PC users to access network files, was the second. Following that, microcomputers began to occupy mainframe rooms as servers, and the spaces were nicknamed data centres. Several key events have affected the industry's evolution since then, most notably the advent of virtualization software and the shift to cloud computing. The timeline below demonstrates these and other major turning points in the history of big data.   In 1943, the United Kingdom developed the first data-processing computer capable of breaking Nazi codes. In 1945, ENIAC, the first electrical general-p...

  What is big data, exactly? Big data is defined as data that is more varied, arriving at a faster rate and in larger volumes. The three Vs are another name for this. Big data, especially from new data sources, is simply a term for larger, more complex data collections. These data sets are so large that they just cannot be handled by conventional data processing software. However, these enormous amounts of data can be leveraged to solve business issues that were previously impossible to solve.

Part of my college course entails that I must create a blog and blog about the module Big Data.   The first part of the blog is to look at three different areas I could use to create this and explain any features I liked and why I would use this platform. Pros with reddit are that I know the platform as I have often used it personally before but at the same time, I find myself distracted whilst looking at it and would struggle to get anything done on it. Wix is a free website builder tool that comes with drag and drop options.   Its design is modern and can be used by both beginners and advanced.   It also includes free hosting.   It is described as best for non-techies who want some “regular website” functionality along with a blog.   However, I find currently it has too much for the required task I am currently doing, and I would get lost in the features. Even though one of the first free blog platforms, Blogger's popularity has declined recently. For pe...