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All glossary

ETL (Extract, Transform, Load)

ETL (Extract, Transform, Load) is the process your data product employs to pull in only the raw data demanded by downstream use cases, clean and reformat it, and load it into storage, so it is ready for use. ETL within the bounds of Data Products is more efficient given that it doesn’t necessitate migration of all data, but only the source data that directly maps to the end-use case. ETL with data products is configured to play out reliably and at scale in the background, so users always work with clean, trustworthy data.
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Find more glossary terms
Versioned Datasets
Service Level Objective (SLO)
Service Level Agreement (SLA)
Source of Truth
Schema Evolution
Real-Time Data Processing
Query Optimisation
Query Federation
On-Demand Data Processing
Observability Dashboard
Near Real-Time Processing
Master Data Management

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