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ETL-PIPES: An Efficient Python ETL Data Processing Library
ETL-pipes is a comprehensive Python library that simplifies ETL (Extract, Transform, Load) data processing tasks through a flexible pipeline architecture. It provides built-in components for data sour
ces, transformations, and storage systems while supporting parallel processing and custom functions.

Reasons to Read -- Learn:

  • how to build complete ETL pipelines with minimal code using ETL-pipes, including practical examples of processing online sales data with data validation and transformation steps
  • ETL-pipes' built-in components for handling different data formats and storage systems, including CSV, JSON, SQL, MongoDB, and MySQL integration capabilities
  • how to implement parallel processing in your ETL workflows using ETL-pipes' n_jobs parameter, along with creating custom transformation functions and validation rules for your data processing needs
    • publisher: @tubelwj
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