batchpipelineet
Batchpipelineet is a term used in data engineering to describe a class of data processing pipelines that execute on scheduled batches, integrating extraction, transformation, and loading steps within a coherent workflow. It emphasizes batch-oriented processing rather than real-time streaming, and is commonly used for periodic analytics, reporting, and data warehousing.
Architecture typically includes data sources, an extraction layer, a transformation layer (often with business rules and
Workflow characteristics involve defining batch windows (frequency and size), performing idempotent extractions, applying transformations deterministically, and
Relation to other concepts: batchpipelineet sits between traditional ETL and ELT approaches, with emphasis on batch
Use cases include periodic reporting, historical data reconciliation, data warehouse populating, and off-hours data consolidation. While