Features

  • Serverless ETL: No infrastructure to manage.
  • Data Catalog: Centralized metadata repository.
  • Integration: Works with various AWS services.
  • Automation: Automates data preparation tasks.

Benefits

  • Efficiency: Simplifies data preparation and loading.
  • Scalability: Handles large-scale data processing.
  • Flexibility: Supports various data sources and targets.
  • Cost-Effective: Pay only for resources used.

Use Cases

  • Data lake and data warehouse ETL processes.
  • Data preparation for analytics.
  • Metadata management.
  • Data integration from multiple sources.

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