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The Emergence of Converged Data Platforms and the Role of In Memory Computing

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13 May 2016


The Emergence of Converged Data Platforms and the Role of In Memory Computing

Organizations today typically have heterogeneous IT infrastructures which include a variety of database technologies and a wide variety of applications drawing on that data. Many organizations are dealing with massive and rapidly growing amounts of data with end users requiring immediate access to this real-time big data for both transactional and BI applications. Technology providers are responding to these evolving needs by moving towards a converged data platform which includes:

  • A distributed grid/cache
  • NoSQL database integration
  • Relational operational database integration
  • Analytic database integration
  • Hadoop integration
  • Stream processing
  • Containerization

In this webinar, Matt Aslett from 451 Research will discuss the drivers behind the need for a converged data platform and the current state of the evolution of these solutions.

Nikita Ivanov from GridGain Systems will then discuss the role of in-memory computing within the converged data platform and describe example use cases.


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