Enterprises are embracing modern data integration patterns to fuel digital transformation. Not just cost and performance but also agility, scalability, and productivity are on the list of key ...

Extensive integration options (APIs, SDKs, client libraries and agents) as well deep, native integration with a large number of AWS services In-order data persistence (up to 365 days) allowing ...

The patterns discussed—point-to-point, hub-and-spoke, publish-subscribe, message queuing, and API-led integration—are crucial tools for organizations aiming to stay ahead in a competitive and ...

Data integration aims to provide a unified and consistent view of all enterprise wide data. The data itself may be heterogeneous and reside in difference resources (XML files, legacy systems, ...