With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

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The Frank!Framework is an easy-to-use, stateless integration framework which allows (transactional) messages to be modified and exchanged between different systems.