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Spark Declarative Pipelines is a Databricks product that simplifies building reliable batch and streaming ETL pipelines with automated reliability and built-in data quality. It enables efficient ingestion, intelligent transformation, and automated operations for data engineers, Python developers, data scientists, and SQL analysts.
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