Driving The Next Generation Data Architecture with Hadoop

Driving The Next Generation Data Architecture with Hadoop

Hadoop has been a phenomenon, both as a framework for big data workloads and its operational capabilities.

Major initiatives brought Hadoop from its batch-oriented roots to the interactive capabilities that are delivering improved performance in SQL engines and with distributed in-memory engines.

Operational analytics are leading the way as “one of the first” steps towards operationalizing Hadoop as a platform. There are core data management principles that will guide Hadoop adoption, however there is also a change in mindset needed to rethink the role of Hadoop beyond a big data and analytic platform.

This paper examines the emergence of Hadoop as an operational data platform, and how complementary data strategies and year-over-year adoption can accelerate consolidation and realize business value in agility and reduced development efforts.


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