AWS SageMaker Catalog Bidirectional Collibra Integration
Overview
The integration solution between the Collibra Platform and Amazon SageMaker Catalog enables bidirectional integration using APIs from both platforms to facilitate two-way synchronization of metadata between AWS SageMaker Catalog and the Collibra Platform. The result is consistent definitions, streamlined metadata management, and unified governance for all users, regardless of the platform they work in—whether within Collibra or across AWS environments.
The AWS SageMaker Catalog is a part of Amazon SageMaker Studio — a fully managed machine learning service that enables data scientists and developers to build, train, and deploy ML models at scale. The SageMaker Catalog offers a centralized repository for managing and discovering AWS assets used for machine learning such as datasets, models, and feature groups.
Additional details on the integration solution between AWS SageMaker Catalog and Collibra Platform is available on this joint blog post.
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More details
Release Notes
Init release
Contains set of python scripts and Collibra workflow files used as part of the integration solution.
Compatibility
- Collibra Data Intelligence Cloud
- Collibra Data Intelligence On-Prem
Dependency
- Collibra Edge or Collibra Cloud Site
- AWS SageMaker Catalog
