What is big data?

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Blog title: What is big data?

Friends who have been engaged in information-related work for many years will never feel unfamiliar with the various new words from the IT industry. While diligent and diligent IT personnel are realizing the dream of changing the world by technology, I have made great efforts again and again to push forward the development and reform of the industry and society with enthusiasm and sweat.

So, it is not surprising that service-oriented architecture, distributed computing, parallel computing, grid computing, cloud computing, big data, mobile Internet, Iot, smart city, smart transportation, and smart earth are introduced. The so-called: what we can't do is simply unexpected. The Magical IT people use the power of science and technology to change our work and life.

Over the past few years, with the increasingly mature information systems and the rapid development of the Internet, a large amount of data has been accumulated in the databases of all walks of life. These data records the history of organizing various activities, it is of great reference value for people to predict the future based on the past. At the same time, this data has different characteristics from the previous data: the amount of data is huge (defined as EB level, the amount of data is endless ...) diverse data types (including text, voice, video, images, emails, webpages, and other unstructured data, the type is endless ...). The industry has named the data "Big Data" to promote social development and progress ".

In fact, before the emergence of big data, organizations have already begun to use data to serve themselves. These applications include the simplest statistical analysis, and view summary data through reports. Later, we proposed business intelligence. By extracting, transforming, and loading production data, we formed a data warehouse and then formed a different data mart for different themes. Because today's data volume is too large, it is even difficult to quantify its size. in order to express our reverence for massive data volumes, We have to describe it as "big" data.

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