Big data engineers share with you the uses of big data industry
[Introduction] With the advent of the cloud era, big data has attracted more and more attention. Big data analysis is often associated with cloud computing, because real-time analysis of large data sets requires a framework like MapReduce to distribute work to tens, hundreds, or even thousands of computers. The following big data engineers share the big data industry for you Uses, let's take a look.
Big data can be divided into fields such as big data technology, big data engineering, big data science and big data application. Currently, the most talked about is big data technology and big data applications. Engineering and scientific issues have not been taken seriously. Big data engineering refers to the systematic engineering of big data planning, construction, operation and management; big data science focuses on discovering and verifying the laws of big data and its relationship with nature and social activities during the development and operation of big data networks.
The Internet of Things, cloud computing, mobile Internet, Internet of Vehicles, mobile phones, tablets, PCs, and various sensors all over the world are all sources of data or methods of carrying data.
Some examples include web logs, RFID, sensor networks, social networks, social data (societies due to the data revolution), Internet text and documents; Internet search indexes; call detail records, astronomy, atmospheric sciences, genomics, biogeochemistry, biology , And other complex and/or interdisciplinary scientific research, military reconnaissance, medical records; photographic archives, video archives; and large-scale e-commerce.
Big data engineers will share with you the use of big data industry. I don’t know if everyone is clear. If you have a strong interest in big data engineering, I hope this article can help you. Now it is also an information society. I hope you can continue to do so. Self-improvement.