Supercharge ML Data Prep in a Few Lines of Python
Generate ML batches directly from your data warehouse or data lake. Clean, transform, sample, batch and more using Tempora's powerful data preparation technology.
Less Munging, More Modeling
Data scientists and ML engineers spend most of their time wrangling raw data. Tempora makes it easy to build powerful ML data prep workflows, freeing your team to focus on modeling and insights.
ML without the Data Sprawl
No more exporting data to generate ML datasets. Tempora integrates directly with your data sources, preserving governance, maintaining lineage and eliminating duplication.
Runs on Your Infrastructure
With Tempora, your data never leaves your environment. Purpose-built for self-hosting, Tempora is fully containerized and runs effortlessly in your VPC or on-premises.
Data preparation without the pain
Tempora speeds up the most time consuming part of the ML lifecycle. Replace sprawling and hard to maintain Jupyter notebooks with production-grade ML data pipelines.
From warehouse to ML-ready data in just 30 lines of Python
Connects directly to your data store
Say goodbye to data exports, duplication, and missing lineage. Tempora makes it easy to create fully annotated ML batches directly from your enterprise data store.
How Tempora works
Start the Tempora server
Define source datasets in Python
Filter, join and transform datasets
Define model targets & sample batches