Unify enterprise data for analytics and AI with Oracle Autonomous AI Lakehouse. See how Oracle AI Lakehouse helps organizations build on the data estate they already trust native and connect Oracle and non-Oracle data, while reducing unnecessary data movement and duplication. Explore more benefits of Oracle Autonomous AI Lakehouse at https://www.oracle.com/autonomous-database/autonomous-ai-lakehouse/
The demo shows how operational data can be ingested through prebuilt connectors or Oracle GoldenGate for real-time replication and stored as native Apache Iceberg tables. It also shows how Oracle and non-Oracle data can be organized through a medallion architecture, from raw data to curated tables and published data products.
Within one governed environment, Data Studio enriches catalog assets with descriptions, tags, and business context so people and AI agents can discover trusted data faster. Oracle AI Data Catalog can federate metadata across AWS Glue, Snowflake, and Databricks, including Iceberg data. The demo then shows how teams can query data in AWS in place while combining it with Oracle Database data. Users can also ask natural-language questions in AI tools to get insights on Oracle and non-Oracle data.
With AI Lakehouse, organizations can ingest, organize, and query data across Oracle, AWS, Azure, and Google Cloud to power analytics and AI.
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