IntroductionBig Data is a term used to refer to extremely large and complex data sets that have exceeded the ability to manage and analyze them with traditional data processing tools. However, Big Data contains a lot of valuable information which, if successfully extracted, will be of great help to business, scientific research, predicting the upcoming epidemic and even determining traffic conditions in time. real. Therefore, this data must be collected, organized, stored, searched, shared in a different way than usual. In this article, invite you to learn more about Big Data, the methods people use to exploit it, and how it helps us in life. traditional tools. The size of Big Data is increasing day by day, and in 2012, its size was estimated to be between tens of terabytes and several petabytes (1 petabyte = 1,024 terabytes) just for one data set only. In 2001, analyst firm Doug Laney META Group (now research firm Gartner) stated that the challenges and opportunities of data growth can be described in three dimensions: increasing quantity (volume) , increasing speed (speed) and increasing variety (variety). Today, Gartner, along with many other information technology companies and organizations, continues to use the “3Vs” to define Big Data. In 2012, Gartner added that aside from Big Data, the remaining three properties "require new forms of processing to help make decisions, drill down into things/events, and optimize workflow." We can take the experiments of the large particle accelerators (LHC) in Europe as an example of Bi...... middle of paper ......resources of Big Data. This huge amount of data allows researchers to know the consumption behavior of customers, thus refining more suitable Internet of Things devices, we began to serve our daily lives more efficiently. It can also be used for production, thereby reducing human intervention. In the words of Daniel Kaufman, Big Data “will hardly make us more human.” ConclusionIn short, Big Data challenges for organizations and businesses in today's digital age. Once they master Big Data, they will have a greater chance of success in today's competitive environment, the world will benefit more from the information extracted with more precision, more useful and at lower cost. Criticisms always revolve around Big Data, however, the field is still very new and we will see in the future that Big Data will evolve in the same way.