Gartner: Big data is expected to "die" in the next few years

As one of the most hyped technology trends of the moment, big data-or at least the so-called "big data"-is expected to die in the next few years.

The death penalty statement comes from Gartner Intelligence and Http://www.aliyun.com/zixun/aggregation/13617.html, vice president of > Information Management and senior analyst Donald Feinberg.

"The so-called ' big data ' will disappear in the next two years, become just ' data ' or ' any data ', and of course, the analysis of the data will continue," Feinberg at the Gartner Business Intelligence and Information Management Summit in São Paulo.

Chaos dominates the value of large data, so its commercial application will lead to its demise. Companies that are "distracted" by these terms misunderstand the actual need and importance of improving business performance with data analysis.

In fact, in an industry survey of analytical tools, Gartner found that 64% of companies said they were investing or planning to invest in big data, a figure of 58% in 2012.

However, when responding to the "Big Data Challenge," about 56% of companies claim to be "determining how to get value from big Data", while 41% say "define our big Data strategy." In addition, 23% lists "Understanding what is Big data" as a problem.

"This means that most of the big data investments really don't know why," said Ian Bertram, global manager for Gartner Analytics and Business Intelligence research group.

According to the group's analysis, those manufacturers helped create a hodgepodge of terms-data mining, data scientists, BA/BI, data discovery, big data-to "shine" a layer of value in their portfolios in order to stand out from the competition. As a result, the move delayed further use.

"Companies may become more intelligent and analytical if they are not so distracted by big data," Feinberg said. In the near future, he predicts, analytical links-or information management-tend to evolve into more advanced and professional tools.

In these specialized toolset, Feinberg that the As database management system (IMDBMS) is the most typical, such as the Hana of SAP. Common storage solutions are slower and more expensive, he says, while as solutions require less heat, power, and storage space.

In addition, as allows transactions and analytics to be done in the same database, versus traditional transaction processing and data warehouses, "You have to move data from one layer to another to handle things," he said.

Feinberg says the price of as apps is down 25% a year.

Gatner analyst João Tapadinhas that the future belongs to intelligent machines and cognitive computing, while Bertram points out "the excitement about delivery, first of all, collecting information on mobile devices." ”