Features

  • SQL-Based Transformations: Uses SQL for data transformations.
  • Version Control: Integrates with Git for versioning.
  • Testing: Built-in testing capabilities.
  • Documentation: Automatically generates documentation.

Benefits

  • Efficiency: Streamlines the ETL process.
  • Reliability: Ensures accurate data transformations.
  • Collaboration: Enhances teamwork with version control.
  • Visibility: Provides comprehensive data documentation.

Use Cases

  • Data transformation and modeling.
  • ETL pipeline management.
  • Collaborative data engineering.
  • Enhancing data quality and documentation.

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