Gartner: Hadoop Will Find Home In Most Analytics Products By 2015


Apache Hadoop, the open-source framework for storing and analyzing big data, will be embraced by analytics vendors over the next two years as organizations seek out new ways to derive value from their unstructured data, according to a new research report from Gartner.

The research firm projected Thursday that 65 percent of all "packaged analytic applications with advanced analytics" capabilities will come prepackaged with the Hadoop framework by 2015. The spike in Hadoop adoption largely will be spurred by organizations' need to analyze the massive amounts of unstructured data being produced by nontraditional data sources such as social media.

The trend of embedding Hadoop in analytics solutions already is taking off in cloud-based analytics packages, Gartner said, but is expected to become more pervasive over the next two years. What's more, organizations that embrace these prepackaged, Hadoop-based applications will reduce their IT costs and, in some cases, avoid the need to on-board new IT staff or skill sets.

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"Organizations with the people and processes to benefit from new insights will gain a competitive advantage, as having the technology packaged reduces operational costs and IT skills requirements and speeds up the time to value," said Bill Gassman, research director at Gartner, in the report. "Technology providers will benefit by offering a more competitive product that delivers task-specific analytics directly to the intended role, and avoids a competitive situation with internally developed resources."

Gartner has been bullish on its big data predictions over the past few months, suggesting in October that the movement will drive $34 billion in IT spending in 2013 alone. Gartner also forecast that the big data movement will generate 4.4 million new IT jobs globally by 2015, with 1.9 million of those positions being in the U.S.

In its latest research note, Gartner predicted that more than 30 percent of analytics projects will be used to analyze both structured and unstructured data by 2015, as data sources become more and more diverse.

"Organizations are exploring and combining insights from their vast internal repositories of content -- such as text and emails and (increasingly) video and audio -- in addition to externally generated content such as the exploding volume of social media, video feeds, and others, into existing and new analytic processes and use cases," said Rita Sallam, research vice president at Gartner, in the report.

Lastly, Gartner predicts that nearly 70 percent of all business intelligence vendors will incorporate natural-language capabilities into their applications by 2016. The result, the firm projects, is that users will be able to perform searches and analyze data using natural language or even voice commands, rather than through traditional SQL queries.

PUBLISHED JAN. 25, 2013