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oci-and-db/database/autonomous-ai-database/autonomous-ai-serverless/README.md

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Oracle Cloud provides a set of data management services built on self-driving Oracle Autonomous Database technology to deliver automated patching, upgrades, and tuning, including performing all routine database maintenance tasks while the system is running, without human intervention.
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# Table of Contents
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oci-and-db/database/autonomous-ai-database/autonomous-ai-transactional-processing/README.md

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Oracle Autonomous Transaction Processing is a fully automated database service optimized to run transactional, analytical, and batch workloads concurrently. To accelerate performance, it’s preconfigured for row format, indexes, and data caching while providing scalability, availability, transparent security, and real-time operational analytics.
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# Table of Contents
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oci-and-db/database/autonomous-ai-database/autonomous-database-dedicated/README.md

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Autonomous Database on Dedicated Exadata Infrastructure provides you with a private database cloud in the public cloud. With your database, you get a completely dedicated compute, storage, network, and database service, providing the highest security, isolation, and governance levels.
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oci-and-db/database/autonomous-ai-database/data-studio/README.md

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The Data Studio Tools enables you to load data from the cloud and other diverse sources, analyze it, and gain insights from it. You can share the result of the analysis with other users. It is a one-stop application of your analytics tool from multiple data sources. This tool makes sure that there is a seamless transition between different applications. The multiple ways of navigation do not impact the progress of your work.
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oci-and-db/database/converged-database/oracle-spatial/README.md

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# Team Publications
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- [Oracle Spatial Presentations](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-spatial/oracle-spatial-presentations)
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- [GeoRaster Using GDAL using Spatial Studio](https://medium.com/@maryam.oracle2025/georaster-using-gdal-using-spatial-studio-4a04013d1947)
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- [Best Practices for Parquet File Ingestion with Geospatial Data on Autonomous AI Lakehouse](https://blogs.oracle.com/autonomous-ai-database/best-practices-for-parquet-file-ingestion-with-geospatial-data-on-autonomous-ai-lakehouse)
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</br></br>
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# License

oci-and-db/database/converged-database/real-application-testing/README.md

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Database Replay can be used to capture a real workload on the production system and replay it on a test system with the exact timing, concurrency, and transaction characteristics of the original workload. This enables you to test the effects of a system change without affecting the production system.
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# Useful Links
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- [Real Application Testing Database Replay Demo](https://blogs.oracle.com/coretec/post/rat-demo)
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- [Smooth transition to Autonomous Database using SPA](https://blogs.oracle.com/coretec/post/spa-in-autonomous-database)
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- [Oracle SQL Tuning Sets (STS) - The foundation for SQL Tuning](https://blogs.oracle.com/coretec/post/oracle-sql-tuning-sets-the-basis-for-sql-tuning)
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- [Capture-Replay Workloads between non-Autonomous and Autonomous Databases](https://www.youtube.com/watch?v=cWZ9MPBZemc)
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- [Capture-Replay Workloads between Autonomous Databases](https://www.youtube.com/watch?v=JXpQe7zUFs8)
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- [Using the new graphical interface for Database Replay to test new patches on Autonomous Database](https://medium.com/@adrian.capitanu/using-database-replay-to-test-new-patches-on-autonomous-database-6701ed9def6e)
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# License
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