Ten trends in predicting future big data

In the recent "Big Data Forum" held by Intel, IDC analysts give the following ten predictions for the future of Big Data ten.

1. Hadoop towards commercialization

2. Some of the early Hadoop projects face challenges

3, open source software to bring more relevant market opportunities

Open source software offers a lot of technical ideas to solve problems, and is completely free to use, the cost advantage is obvious, but 周震刚 made a metaphor: water is free, but why many people buy bottled water?

4, large data to promote the merger between software companies

No enterprise can contain the whole market, large companies in order to enhance the strength of the inevitable acquisition of new small companies.

5, for large data appliance market rapid growth

Including data Warehouse Appliance,nosql appliance, and a combination of various technologies appliance.

6, large data from the network data processing to enterprise-class applications

The current large data technology is mainly used in Google, Facebook, Tencent, Baidu, Mobile, China Unicom, such as Internet or communications operations giants, but 周震刚 said that users will gradually understand large data and not just to deal with network data, and the industry's demand for large data processing will increase, Includes data flow monitoring and analysis.

7, large data to create new market segments

Includes: Data analysis as a service product submission, advanced data services such as data broker, integration of various information management, access and analysis of unified information access and analysis products, social analysis, large data training market.

8, packaged large data industry analysis application appears

In the industry, packaged analytical applications, industry-specific and business process analysis applications will be available to open new measurements for large data technology providers that will include industry expertise.

9, large data to promote infrastructure to scale-out development

Large data needs to be distributed in a more efficient manner, and the traditional up-scaling architecture is better suited to dealing with structured and relational databases, and the processing of large data requires a scale-out infrastructure.

10. China has become one of the most important data markets in the world

(Responsible editor: The good of the Legacy)