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