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What are the challenges posed by big data
Large amounts of data are generated every moment of every day. In this context, the Big Data Era (Big Data Era) will face new challenges.

1, the basic characteristics of the Big Data Era

The so-called big data is the massive data and information generated by human beings in production and life.

The arrival of the big data era will undoubtedly bring unprecedented convenience to people. According to statistics, in 2010, the Internet-based data generated was more than the sum of all previous years; and not only is the volume of data proliferating, but the structure of data is also evolving. Gartner predicts that in 2012, semi-structured and unstructured data, such as documents, forms, web pages, audio, images, and video will account for about 85% of the world's network data; and the entire network architecture will face a revolutionary change. architecture will be revolutionized. As a result, the so-called Big Data era is upon us. For the era of big data, the following four characteristics are usually considered:

First, the volume of data is large: the volume of data has evolved from terabytes (1012 bytes) to petabytes (PB) or even zettabytes (ZB), which can be described as massive, gigantic, or even super-volume.

Secondly, there are many types of data: more and more web pages, pictures, videos, images and other semi-structured and unstructured data information.

Third: low value density: in the case of video security monitoring, for example, the continuous flow of monitoring, there may be significant value for only one or two seconds of the data stream; 360 ° all-around video monitoring of the "dead center", may be able to dig out the most valuable image information.