New EMA / 9sight Research Examines the Impact of Big Data on the Evolution of Data Management and Analytic Platforms

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New report investigates how the concept of Big Data has evolved in two key directions. First, the technology implications of data structure and processing speed are at least as important as the overall size of Big Data. Second, what really matters is what systemic business cases Big Data supports and what real analytic and operational value can be extracted.

Rather than being tied down to debates of architecture and definitions, this research delivers valuable insights into the operational and analytical possibilities of Big Data.

Enterprise Management Associates (EMA), a leading IT and data management research and consulting firm and 9sight’s Dr. Barry Devlin - a widely respected analyst, consultant, lecturer and author- today released their latest research report entitled, “Big Data Comes of Age.”

“EMA and 9sight took a novel approach to the topic of Big Data research by recognizing that Big Data is not the exclusive domain of Hadoop platforms,” said Shawn Rogers, EMA Vice President of Research – Business Intelligence / Data Warehousing. “Rather than being tied down to debates of architecture and definitions, this research delivers valuable insights into the operational and analytical possibilities of Big Data.”

2012 has been the year of Big Data. From a standing start toward the end of the last decade, Big Data has become one of the most talked about topics in IT. Every analyst has a position. There is hardly a vendor who does not have a solution or, at least, a go-to-market strategy. Beyond IT, even the financial and popular press discusses its merits and debates its drawbacks.

The EMA and 9sight analysis revealed insights about the extent of the evolution of Big Data and its impact on data management and analytic platforms, including:

-Big Data strategies are on the move: Respondents who are already working on Big Data projects are doing so at ambitious rates.

-Enterprise is leading the way: Enterprise-sized companies are the early adopters of Big Data driven analytics.

-It is not easy: Most major Industries are embracing Big Data technology at some level. These projects are driven or sponsored by an array of stakeholders within the organization. Big Data sponsors vary by industry.

-Different industries, different approaches: There are significant differences by industry in how Big Data is used to drive value.

-It is not the size of the data: Big Data is not as big as the market buzz indicates. Less than 10% of our respondents are managing 750 terabytes or more within their overall system.

“It’s time we dropped the Big and started to talk about all Data. The entire Information Management environment is undergoing a fundamental realignment as data becomes pervasive,” said Dr. Barry Devlin, founder of 9sight Consulting.

The complete “Big Data Comes of Age” research report is available online.

A free “Big Data Comes of Age” Webinar – highlighting key research findings – will be held on Thursday, December 13th.

About Enterprise Management Associates
Founded in 1996, Enterprise Management Associates (EMA) is a leading industry analyst firm that provides deep insight across the full spectrum of IT and data management technologies. EMA analysts leverage a unique combination of practical experience, insight into industry best practices, and in-depth knowledge of current and planned vendor solutions to help its clients achieve their goals. Learn more about EMA research, analysis, and consulting services for enterprise line of business users, IT professionals and IT vendors at or

About 9sight Consulting
Dr. Barry Devlin is founder and principal of 9sight Consulting ( Barry is among the foremost authorities on business insight and one of the founders of data warehousing, having published the first architectural paper on the topic in 1988. With over 30 years of IT experience, including 20 years with IBM as a Distinguished Engineer, he is a widely respected analyst, consultant, lecturer and author of the seminal book, “Data Warehouse—from Architecture to Implementation” and numerous white papers.

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