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 Duration 14 hours

Course Outline

Introduction to Oracle 23ai

  • Summary of Oracle 23ai features and its strategic vision.
  • Notable differences between versions 19c and 21c.
  • AI integration and support for contemporary workloads.

AI Vector Search and Embeddings

  • AI Vector Search: understanding the architecture and applicable use cases.
  • Techniques for storing and indexing vectors in Oracle 23ai.
  • Real-world examples demonstrating search and AI inference capabilities.

Automation and Observability

  • New observability dashboards and telemetry capabilities.
  • Enhanced automation for routine DBA tasks.
  • Proactive alerting mechanisms and resource monitoring improvements.

Performance and SQL Improvements

  • SQL capabilities introduced in Oracle 23ai.
  • Advancements in indexing, joins, and query optimization.
  • Real-time statistics collection and enhanced diagnostic tools.

Security and Compliance

  • New auditing and encryption features.
  • Improvements in policy management.
  • Alignment with Oracle Cloud Infrastructure (OCI) controls.

Upgrade and Migration Strategy

  • Evaluating system readiness and compatibility.
  • Tools and best practices for smooth upgrades.
  • Considerations for hybrid cloud environments.

Backup, Recovery, and Cloud Options

  • Changes to backup processes in Oracle 23ai.
  • Enhancements to Flashback and recovery mechanisms.
  • Features for multicloud and autonomous databases.

Recap and Future Actions

Requirements

  • A solid grasp of Oracle database architecture and administration principles.
  • Professional experience with Oracle 19c or 21c.
  • Proficiency in SQL, PL/SQL, and standard DBA toolsets.

Target Audience

  • Oracle database administrators.
  • Database architects.
  • Infrastructure engineers managing Oracle-based environments.

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