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Aqua Data Server introduces support for Apache Spark, a fast and general purpose engine for large-scale data processing. Spark's multi-stage in-memory primitives provides performance up to 100 faster for certain applications. By allowing user programs to load data into a cluster's memory and query it repeatedly, Spark is well-suited to machine learning algorithms.
We've updated Aqua Data Server to work with Apache Spark, allowing you to leverage this speed-optimized RDBMS. Use the Servers tab to connect to Spark SQL, write scripts in the AquaScript Editor and use the Scheduler engine to invoke the AquaScript automatically at the designated time.
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