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

Wednesday, April 20 2016 | Dane Christensen
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Organizations today typically have heterogeneous IT infrastructures which include a variety of databases technologies and a wide range of applications drawing on that data. As organizations grapple with rapidly growing amounts of data and growing demand from end users for real-time access, they are increasingly solving these challenges by moving towards a converged data platform.

The converged data platform seamlessly weaves together a number of related technologies and processes into a unified system capable of delivering the ultimate in performance, reliability and scalability.  Typical components of a converged data platform include:

  • A distributed grid/cache

  • NoSQL database integration

  • Relational operational database integration

  • Analytic database integration

  • Hadoop integration

  • Stream processing

  • Containerization


GridGain has joined forces with 451 Research to provide a live webinar titled “The Emergence of Converged Data Platforms and the Role of In-Memory Computing” to expand on what the converged data platform actually is and how it is currently being applied to solve the most challenging  big data problems.

In this webinar, Matt Aslett, an analyst 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, CTP of GridGain Systems, will then discuss the role of in-memory computing within the converged data platform and describe example use cases.

Join us at 10:00am PT on May 4th, 2016 to learn how the converged data platform will impact your organization and the role in-memory computing can play in unleashing an extremely high performant data platform.

Register today to attend this important webinar.
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Dane Christensen
Digital Marketing Manager, GridGain Systems