Siesta Framework

Spark-based process mining and querying framework for event log streams

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Siesta is a Spark-based, application-agnostic framework for building incremental indices from continuously streaming event data and mining patterns or querying it, as an API server or CLI jobs. It's for data engineers and process analysts who need to mine patterns from large, continuous event log streams without building a custom indexing pipeline from scratch.

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