ETLprotsesside
ETLprotsesside (Estonian for ETL processes) are workflows that extract data from multiple sources, transform it to meet business rules, and load it into a target repository such as a data warehouse or data lake. They support data integration, governance, and analytics by providing a single, unified view of data.
Extraction collects data from operational databases, APIs, files, and other systems. Transformation applies cleansing, normalization, validation,
Deployment patterns include batch ETL, which runs on a schedule, and streaming ETL, which processes data in
Architectures emphasize data quality, metadata management, and lineage. Common components are source connectors, transformation engines, loaders,
Challenges include handling schema changes, data volume, latency requirements, and maintaining transformation logic. Best practices include
ETLprotsesside are used to power business intelligence, reporting, data science workflows, and regulatory reporting in many