The Emergence of Converged Data Platforms and the Role of In-Memory Computing
About
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:
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.
Join us at 10:00am PT on May 4th 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.
- 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.
Join us at 10:00am PT on May 4th 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.
Speakers