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Course Outline

Introduction to Oracle 23ai

  • Summary of Oracle 23ai features and strategic vision.
  • Distinct differences from Oracle 19c and 21c.
  • AI integration and support for modern workloads.

AI Vector Search and Embeddings

  • AI Vector Search: architectural overview and practical use cases.
  • Storing and indexing vectors within Oracle 23ai.
  • Real-world examples for search and AI inference.

Automation and Observability

  • Introduction to new observability dashboards and telemetry.
  • Advanced automation features for DBA tasks.
  • Proactive alerting and resource monitoring capabilities.

Performance and SQL Enhancements

  • SQL improvements available in Oracle 23ai.
  • Optimisations in indexing, joins, and query execution.
  • Real-time statistics and enhanced diagnostic tools.

Security and Compliance

  • New auditing and encryption features.
  • Enhancements to policy management.
  • Integration with Oracle Cloud Infrastructure (OCI) controls.

Upgrade and Migration Planning

  • Assessing system readiness and compatibility.
  • Tools and best practices for executing upgrades.
  • Considerations for hybrid cloud environments.

Backup, Recovery, and Cloud Options

  • Changes to backup mechanisms in Oracle 23ai.
  • Improvements to Flashback and recovery processes.
  • Multicloud capabilities and autonomous database features.

Summary and Future Steps

Requirements

  • Solid grasp of Oracle database architecture and administration.
  • Hands-on experience with Oracle 19c or 21c.
  • Proficiency in SQL, PL/SQL, and fundamental DBA tools.

Target Audience

  • Oracle database administrators.
  • Database architects.
  • Infrastructure engineers managing Oracle environments.
 14 Hours

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