Analytics
CoreAWS Glue
Managed data integration with a shared Data Catalog, crawlers, and serverless ETL capabilities.
Key points
- The Data Catalog supplies table and schema metadata to services such as Athena and EMR.
- Glue jobs transform and prepare data; layout choices such as columnar formats and partitions affect downstream scans.
- Catalog metadata and lake permissions are separate from the underlying S3 and KMS authorization.
Best-known use cases
- Catalog data-lake datasets.
- Run managed ETL and convert raw data into analytics-friendly layouts.
What candidates often confuse it with
- Glue handles catalog/data integration; Lake Formation centralizes fine-grained data-lake governance.
- Glue serverless ETL minimizes cluster work; EMR fits distributed framework and cluster-control requirements.
Key takeaway
Choose Glue for managed catalog and ETL, then use the service that fits the query or visualization stage.
Related services
- Amazon S3
- Amazon Athena
- AWS Lake Formation
- Amazon EMR
Relevant exam tasks
- D3.5