Data Governance Data Lakes System Architecture 
Dataconomy
JUNE 18, 2025
Common use cases for data integration Data integration demonstrates its value across a variety of applications. Feeding data for analytics Integrated data is essential for populating data warehouses, data lakes, and lakehouses, ensuring that analysts have access to complete datasets for their work.
AWS Machine Learning Blog
NOVEMBER 12, 2024
Their data pipeline (as shown in the following architecture diagram) consists of ingestion, storage, ETL (extract, transform, and load), and a data governance layer. Multi-source data is initially received and stored in an Amazon Simple Storage Service (Amazon S3) data lake.
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