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Spark has a thriving open source community, with contributors from around the globe building features, documentation and assisting other users. Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
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With Spark, only one-step is needed where data is read into memory, operations performed, and the results written back—resulting in a much faster execution. Spark also reuses data by using an in-memory cache to greatly speed up machine learning algorithms that repeatedly call a function on the same dataset.
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Running Spark Client Applications Anywhere with Spark Connect. Spark Connect is a new client-server architecture introduced in Spark 3.4 that decouples Spark client applications and allows remote connectivity to Spark clusters.
