In learning Big Data process, Hadoop is important as a core module for Big Data development.
Big Data
Big data analysis is a complex process of analyzing a large amount of data to discover information such as hidden patterns, relevance, market trends and consumer preferences, which helps enterprises make better decisions.
Big data has been closely related to our life, many enterprises have started to use big data, even a small thing in our life may be related to big data.
On the Internet, everyone leaks certain fragments of information more or less, either actively or passively. When this information is mined by big data, there is a risk of privacy leakage and raises information security issues.
High-end equipment manufacturing enterprise factory, there are many production-related equipment and various types of equipment, equipment management work more difficult.
Although big data may seem advanced, but in these years of development, there have been many cases close to our lives, but we may not realize that this is actually "big data" in action.
Human beings and objects are the two major categories of the earth. Human beings are the most advanced animals on the earth. Objects (animals, plants, organisms, microorganisms, man-made objects) cannot be made. Human beings have wisdom and dominate the earth;
Data silos and unlinked systems caused employees to waste a lot of time moving information around. In addition, the sheer volume of paper and electronic forms forced employees to manually process documents and verify their contents.
The application of big data is just like the use of credit cards. The better you use it, the greater the income. On the contrary, can enterprises bear the cost of mistakes in big data? This article describes 6 major mistakes and solutions.
2013 is called the first year of big data, and all walks of life are gradually opening the era of big data applications. Until now, big data is still talked about.