Summary
Traditional Apache Spark requires developers to manually write complex procedural code for processing steps, state management, and checkpoints. Spark declarative pipelines allow users to define the desired final data state in SQL or Python while the engine automatically handles execution order, dependencies, and incremental processing.
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