Webinar: Making Data Integration Easy for Multiplatform Data Architectures with Diyotta 4.0
In his prior webinar on Multiplatform Data Architectures, Philip Russom discussed how to leverage the new wave of advanced data sources available and how organizations are now turning to multiplatform data architectures (MDAs). An MDA is typified by an extreme diversity of platform types that may include multiple brands of relational databases, NoSQL platforms, in-memory processing platforms like Spark, analytics, and stream processing. Any of these may be on premises, in the cloud, or in hybrid combinations of the two.
The point of an MDA is to provide options for rapidly diversifying data and its business use however, this further complicates and creates additional challenges to integrate data across these MDAs.
With our 4.0 launch and the introduction of batch, cloud, and streaming integration, Diyotta’s unique modular architecture simplifies data integration across MDAs with a single unified product, whether those platforms reside on premise, in the cloud, or in a hybrid environment.
In this webcast, you will learn:
Recap on MDAs
Common business use cases for multiplatform data architectures in production today
Data Integration challenges on MDAs
Introducing Diyotta 4.0
Simplify data integration across MDA’s
Diyotta 4.0 Demo