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Navigating The Twists and Turns of The Hadoop Landscape

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FAQ: Hadoop for BI and Analytics

Traditional data warehouses are proving to be ill-suited for tackling big data on their own. As a result, organizations are turning to new technologies like Hadoop to effectively manage today’s data environment.

Unfortunately, Hadoop is surrounded by many misconceptions and most data management professionals have little to no experience with the big data platform.

This expert E-Guide aims to dispel common Hadoop myths and offers key advice for leveraging this technology in order to drive big data analytics success. Read on to learn more.

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  • The Evolution of the ‘Big Data’ Concept

    The term “big data” has been around for decades, but the recent hype surrounding the term has been overwhelming.

    Access this exclusive guide to analyze the evolution of the big data concept. Examine how many analysts are coming to believe that the three-V definition of big data- variety, velocity, and volume- falls short.

    Continue on to delve further into the big data discussion and discover how Gartner, who originally introduced the three-V concept, has begun to build on this rudimentary interpretation.

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