Discover, trust, and unite data across your lakehouse and entire data estate. Maximize your AI potential and deliver data lakehouse success.
Build AI/ML models with governed, trusted data. Ensure data quality by visualizing Lakehouse Monitoring and other source metrics in Alation Data Health, leveraging the Alation Open Data Quality Framework. This gives data science and engineering teams peace of mind with safe, ethical, and compliant data usage in a rapidly-changing regulatory environment.
Give everyone a single view to all enterprise data–including Unity Catalog–for deeper insights and access controls to your Databricks environment and beyond. Alation is the “catalog of catalogs” in a data mesh architecture, enabling the delivery of data products in a data marketplace. Widen adoption with intelligent search and discovery of data assets for everyone.
Speed cloud data migration and optimize workloads in Databricks by providing visibility and intelligence across all your legacy data assets and workloads to prioritize migration and ensure success.
Help data scientists and engineers collaborate at scale and deliver models faster. Give the full picture of your data and AI models. Support access to experts and empower people with the data context and usage policies to reduce risk for AI model deployment. Provide traceability and transparency with end-to-end data lineage to build trust in model development and delivery.
We know true lakehouse success comes from trusted, well governed, AI-ready data. It's why we've been awarded Data Governance Partner of the Year.
John (JW) Williams
Executive Director of Enterprise Data at RaceTrac
Senior Director of Data Governance
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