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BlogsDatabricks
Data Catalog Portability APIs
Databricks
Databricks logoDatabricks · Feature trail

Data Catalog Portability APIs

2 posts · Oct 2026

What this trail covers

This post introduces the capability to query Workday HR and finance data directly within Databricks using Unity Catalog, enabling zero-copy access and end-to-end governance. It details three methods for bringing Workday data into Databricks, facilitating richer analytics and AI applications by leveraging governed, in-place data.

All Databricks trails
  1. Oct 2026Announcing Workday Data Connect federation in Unity CatalogThis post details the technical implementation of federating Workday Data Connect within Unity Catalog. It describes how to query Workday HR and finance data in place from Databricks, with zero-copy access governed by Unity Catalog. Three methods for bringing Workday data into Databricks are presented, focusing on enabling analytics and AI applications on this governed data.
  2. Oct 2026Unlocking Data Portability: Preventing Catalog Lock-in with REGISTER and UNREGISTER APIsThis post introduces the REGISTER and UNREGISTER APIs as a new open standard for data catalog management. It details how these APIs allow for the safe transfer of a table's catalog management without copying the underlying data, thereby preventing catalog lock-in and enabling data portability. The technical contribution lies in defining these new API endpoints and their behavior to facilitate seamless migration of cataloged tables between different catalog systems.
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What this trail covers

This post introduces the capability to query Workday HR and finance data directly within Databricks using Unity Catalog, enabling zero-copy access and end-to-end governance. It details three methods for bringing Workday data into Databricks, facilitating richer analytics and AI applications by leveraging governed, in-place data.

All Databricks trails

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