About this Content
This guide describes Lakehouse capabilities in Oracle AI Database 26ai across supported deployments, including customer-managed systems, Exadata Database Service, Exadata Cloud Customer, and AI Lakehouse.
Audience
This publication is intended for Database Administrators (DBAs), Data Engineers, Database Developers, Data/Lakehouse Architects and Data Platform Administrators who configure Oracle databases for Lakehouse access, manages privileges and credentials, create and query external tables/catalog managed tables, build pipelines and design file/partition layouts, and manages interoperability between Oracle and Lakehouse engines.
Related Resources
See these Oracle resources:
- Oracle AI Database Concepts
- Oracle AI Database Administrator’s Guide
- Oracle AI Database Data Warehousing Guide
- Oracle AI Database VLDB and Partitioning Guide
- Oracle AI Database PL/SQL Packages and Types Reference
- Oracle AI Database SQL Language Reference
See also - Oracle AI Database New Features for a complete description of the new features in this release.
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