Get your data ready for exploration in minutes by automating the entire ETL process.
Instead of losing time on re-writing scripts, deploy data models and gain insights with a few clicks. Work on the continuous improvement of your data models with a baseline of your choice.
Build multiple models on top of your raw data or previous results stored in buckets. Full version control enables you to pick up the work from any previously stored data.
Share raw data, results, and analysis from Jupyter notebooks. Combined with versioning, your data models become easily reproducible or modified.
Repeat a data pipeline execution automatically. Or, automate just the part that brings no value to your discovery work.