This article discusses data integration, focusing on combining data from multiple sources into a unified view for better analysis. It contrasts ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) methodologies, explaining their approaches to data handling. The article also highlights three types of ETL pushdown techniques and the concept of data orchestrators.
Etl
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This article explores data loading methodologies, including batch and streaming approaches, and various loading strategies such as full and incremental loads. It also examines Change Data Capture (CDC) techniques and the layered architecture of modern data warehouses, from raw data ingestion to presentation marts.
