Gartner, IBM and Teradata Publish Big Data reports

Recent market research firm Gartner has published a report on corporate spending on large data; IBM and Oxford University jointly released a large data study; Teradata announced the introduction of an integrated new device for MPP technology and Hadoop.

According to foreign media reports, this month will be a big data news "circulation Month", held this week in New York "Strata + Hadoop World" will release a series of announcements, so in the first two weeks to pave the table.

About expenses

According to Gartner, a technology research and consulting firm, the big data will drive 2012 of global IT spending, which is expected to increase to $34 billion in 2013. By 2016, the total global spending on big data would be $232 billion trillion.

Gartner also said that by 2020, large data will become the mainstream of embedded technology, features and functions will be differentiated, and traditional enterprise vendors as part of the regular products. Large data will again become "pure data" 2020 years ago, and if the architecture, infrastructure and software/hardware cannot adapt to the ' new standard ', it will be eliminated. If the organization resists this change, it will face a serious economic shock. Some people in the industry believe that this trend will promote the merger of enterprises.

About Large data research

Research by IBM and Oxford University includes: the actual use of large data; How innovative enterprises extract valuable data from uncertain data, which was eventually collated into a 20-page publication containing the findings of 1144 business and IT professionals in 95 countries. In addition, it covers the definition of large data, surveys common large data infrastructures, discusses the highest data source analysis of large data, features and adoption phases (along with their sponsors, data availability and barriers), and provides a series of recommendations for how to adopt and nurture large data.

Analysts share the following four "interesting" data:

* The top four large data sources include: Transaction data, record data, "events" and e-mail;

* Top five large data capabilities include: Data mining, data visualization, predictive modeling and data "optimization";

* Only 6% per cent of respondents indicated that large data was used during the "implementation" phase (47% was still in the "exploratory" phase);

*63% respondents said the use of large data analysis to improve their competitive advantage;