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AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for users to prepare and load their data for analysis. It simplifies the process of creating and managing ETL jobs by automatically discovering, cataloging, and transforming data from various sources. Here's a comprehensive list of AWS Glue features with their definitions:

  1. Data Catalog:

  2. ETL Job Authoring:

  3. Auto-Discovery:

  4. Dynamic Frames:

  5. Data Transformation:

  6. Job Execution:

  7. Serverless Architecture:

  8. Data Encryption:

  9. Data Filtering:

  10. Incremental Loads:

  11. Data Partitioning:

  12. Crawlers:

  13. Schema Evolution:

  14. Custom Connections:

  15. Security and Access Control:

  16. Job Monitoring and Logging:

  17. Integration with Other AWS Services:

AWS Glue simplifies the ETL process and provides a scalable and cost-effective solution for preparing and loading data into data lakes, data warehouses, and other analytics platforms.