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.