How Apache Spark Powers Big Data Processing Inside Microsoft Fabric

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Apache Spark is an open-source distributed computing engine that splits large data processing tasks across multiple machines working simultaneously, enabling fast handling of massive datasets. Microsoft Fabric integrates Spark deeply, automatically provisioning and managing clusters so users do not need to configure infrastructure themselves. Spark's architecture relies on three components — a Driver that plans tasks, a Cluster Manager that allocates resources, and Executors that perform the actual data processing in parallel. The engine uses lazy evaluation, meaning it builds an optimized execution plan before running any transformations, improving efficiency. Within Fabric, users can process hundreds of gigabytes of data stored in OneLake within minutes using PySpark or Spark SQL.

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