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Transformation Execution describes orchestrated execution of data and business transformations within pipelines or processes. It covers scheduling, state management, parallelism and error handling to produce consistent, reproducible results. Applicable to ETL/ELT, streaming and batch scenarios in distributed environments and emphasizes observability and idem…
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Transformation execution describes controlled execution of data transformations in a pipeline or distributed process.
The approach grew from ETL and data-processing pipelines and was extended by Apache Beam into a model for batch and streaming.
Inputs pass through defined steps whose state, parallelism, and error handling determine reproducibility.
Steps are connected into a flow.
Progress governs recovery.
Time affects data assignment.
For ETL and streaming flows, the concept helps define execution and fault tolerance.
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