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

Datapipe

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

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

Comments, support and feedback

    About this launch

    Datapipe by Olga Tatarinova Will be launched April 30th 2024.

    Trending launches