Real-time, incremental ETL library for machine learning with record-level dependency tracking
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Datapipe

Real-time, incremental ETL library for machine learning with record-level dependency tracking

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The library is designed for describing data processing pipelines and is capable of tracking dependencies for each record in the pipeline. This ensures that tasks within the pipeline receive only the data that has been modified, thereby improving the overall efficiency of data handling.
  • Datapipe
  • Datapipe
  • Datapipe

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    About this launch

    Datapipe was launched by Olga Tatarinova in April 30th 2024.

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