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data-platform/core-converged-db/database-23ai/README.md

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If you are interested in AI Vector Search, [please see our page here](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/core-converged-db/ai-vector-search).
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# Useful Links
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- [JSON in Oracle Database](https://blogs.oracle.com/coretec/post/json-in-oracle-database)
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- [Bigfile Tablespace Shrink](https://blogs.oracle.com/coretec/post/bigfile-tablespace-shrink)
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- [Real-Time SQL Monitoring: a MUST for SQL Tuning](https://blogs.oracle.com/coretec/post/oracle-database-real-time-sql-monitoring-one-of-the-most-important-tools)
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- [New Features and Release Updates](https://blogs.oracle.com/coretec/post/where-to-find-features-in-release-updates)
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- [23ai blogs on blogs.oracle.com/coretec](https://blogs.oracle.com/coretec/category/cased-concurrency-control-rt-23ai)
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## Videos
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- [Lock-Free Row Updates in Oracle Database using ETAGs](https://youtu.be/zfurzMlY3iI)
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- [Generative AI integration with DBMS_CLOUD_AI](https://youtu.be/V2x3XtibrjM)

data-platform/modernise/migration-to-oci-database-with-postgresql/README.md

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OCI Database with PostgreSQL is the ideal solution for organizations aiming to gain effortless scaling in the cloud without changing their applications. It provides full PostgreSQL compatibility while letting users take advantage of OCI’s flexible, high-performance, high-availability infrastructure with built-in security and simple pricing. In addition, this OCI implementation delivers superior scalability combined with reduced administrative demands. Migration to Oracle Database with PostgreSQL can be performed using the pg_dump utility or via online methods using GoldenGate. This page contains links to documentation and assets that better explain how to perform offline and online migrations to the OCI Database with PostgreSQL.
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# Table of Contents
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