Menacing: Talking about the "big data" effect in storage field

Decades ago, as Oracle, SQL and other database technologies swept the world, the vast number of it people might not think that, decades later, a heap of unplanned, unrelated social network access records, pictures, or audio and video will become the "baby" in the hands of users, These figures may be a key to a businessman's success today. For managers who started building data centers more than 10 years ago, and even a few years ago, it was not expected that the back-end storage would be filled with a lot of unstructured data.

The age of unstructured data is coming

Yes, the big Data age is coming, and it's menacing. Large data is not a technology, but a phenomenon that is gradually derived from the increasing amount of data and the variety of data. Searching for the definition of large data also reveals that vendors are defining big data based on their own understanding. For NetApp, for example, He Yinghua, director of the system technology and Professional Services Division of Greater China, said NetApp believed that large data should contain three major elements: large analysis, helping users gain value, high bandwidth, faster data processing, and large content, which means not losing any information and achieving high scalability. and Teradata Company Greater China product technology and sales support deputy general manager Zhang Jinji from four dimensions explained the concept of large data-three V and a C. Three v respectively refers to the large amount of data, the variety of data and the rapid growth of data. A c refers to the process, upgrade or use of large data analysis means more complex than the processing of structured data.

While each vendor's understanding of large data is different, one common point is that large data contains a large amount of unstructured data, including images, audio and video, mail, social networking data, and data types that are completely different from traditional relational data.

ESG China general manager Wang Cong that big data is related to growth, but does not mean that big data is the fastest growth. From the storage point of view, the growth of data volume is a challenge, how to store these fast-growing data and reasonable planning storage space, is an urgent problem to be solved. From the point of view of data analysis, a large number of unstructured data growth in the user challenges, but also brings a lot of opportunities. For trade-oriented data-oriented industries, such as finance, retailing, and so on, the analysis of data, the extraction of commercially valuable information will be such users face large data challenges. For users like radio and television IPTV, online games, social networks and other unstructured data to store large amounts of audio and video, pictures, social networking data, and so on, how back-end storage can cope with the sheer volume of data that is rapidly growing is a big data challenge for them. Wang Cong says the big data challenges facing different kinds of industries cannot be equated.

(Responsible editor: The good of the Legacy)