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The State Of Big Data Technologies
March 10, 2016


In a new TechRadar™ report, Forrester identified and evaluated 22 of the most important big data technologies, ranging from artificial intelligence and machine learning to big-data-as-a-service, data integration, and predictive analytics. Ranking each technology from minimal to significant success, the report assesses each technology based on current state, future value, the next stage of maturity, and the overall trajectory.

Forrester found that a majority of big data technologies are in the growth or survival phases — including technologies like data encryption, data virtualization, stream analytics, and SQL-for-Hadoop — meaning that they have reached a state of deployment in the market.

Despite this level of maturity, businesses are becoming rapidly more sophisticated with their big data needs, demanding that the technologies they use deliver insights that actually improve their business model. Only one technology made it to the equilibrium phase — MPP data warehouse — meaning that it’s ranked highest to meet businesses’ end-to-end data management analytics challenges in the years to come.

Click here for more information, and contact us if you'd like a copy of this report.


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Forrester (Nasdaq: FORR) is one of the most influential research and advisory firms in the world. We work with business and technology leaders to develop customer-obsessed strategies that drive growth. Forrester’s unique insights are grounded in annual surveys of more than 500,000 consumers and business leaders worldwide, rigorous and objective methodologies, and the shared wisdom of our most innovative clients. Through proprietary research, data, custom consulting, exclusive executive peer groups, and events, the Forrester experience is about a singular and powerful purpose: to challenge the thinking of our clients to help them lead change in their organizations.


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Jenna Vassallo
Marketing Manager
Forrester Research, Inc.

Tel. 617-613-5746
jvassallo@forrester.com


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