IntroductionBig Data is a term used to refer to extremely large and complex data sets that have grown beyond the ability to manage and analyze them with traditional data processing tools. However, Big Data contains a lot of valuable information that, if successfully extracted, will be of great help for business, scientific research, predicting the upcoming epidemic, and even determining traffic conditions in real time. Therefore, this data must be collected, organized, stored, searched, shared differently than usual. In this article, we invite you to learn about Big Data, the methods people use to exploit it, and how it helps our lives. What is Big Data? Definition As noted above, Big Data is a collection of data capabilities in excess of those assumed to be traditional applications and tools. The size of Big Data is increasing day by day and in 2012 it was estimated from a few dozen terabytes to multiple petabytes (1 petabyte = 1024 terabytes) for just one data set. In 2001, Doug Laney's analytics firm META Group (now the research firm Gartner) said that the challenges and opportunities in data growth can be described in three dimensions: increasing quantity (volume), increasing velocity ( speed) and increased variety (variety). Now Gartner, along with many other information technology companies and organizations continue to use the “3Vs” to define themselves as Big Data. By 2012, Gartner added that, in addition to Big Data, the remaining three properties "will require new forms of processing to help make decisions, deeply explore things/events, and optimize workflow." We can take the experiments of a large particle accelerator (LHC) in Europe as an example of Bi...... middle of paper ......rces of Big Data. This enormous amount of data has allowed researchers to learn about customers' consumption behavior, thus perfecting the most suitable Internet of Things devices, to enable us to serve our daily lives more effectively. It can also be used for manufacturing, thus reducing human involvement. In the words of Daniel Kaufman, Big Data will "do little more than man." ConclusionIn short, the challenges of Big Data for organizations and businesses in today's digital age. Once big data is mastered, it will have a better chance of success in today's competitive environment, the world will benefit more from information extracted more accurately, more usefully and at lower costs. Criticisms still revolve around Big Data, however, the field is still very new and we will see in the future how Big Data will evolve.References