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Course Outline

Introduction to Oracle 23ai

  • Summary of Oracle 23ai features and strategic vision
  • Key distinctions compared to versions 19c and 21c
  • AI integration and support for modern workloads

AI Vector Search and Embeddings

  • AI Vector Search: architectural overview and application scenarios
  • Techniques for storing and indexing vectors within Oracle 23ai
  • Practical demonstrations for search operations and AI inference

Automation and Observability

  • New monitoring dashboards and telemetry capabilities
  • Advanced automation solutions for DBA operations
  • Proactive alert mechanisms and resource tracking

Performance and SQL Improvements

  • Notable SQL enhancements in Oracle 23ai
  • Upgrades to indexing, join processing, and query optimization
  • Real-time statistics collection and enhanced diagnostic tools

Security and Compliance

  • Newly introduced auditing and encryption capabilities
  • Upgraded policy management functionalities
  • Seamless integration with Oracle Cloud Infrastructure (OCI) security controls

Strategy for Upgrades and Migration

  • Evaluating system readiness and compatibility
  • Recommended tools and best practices for the upgrade process
  • Considerations for hybrid cloud deployments

Backup, Recovery, and Cloud Integration

  • Updates to backup procedures in Oracle 23ai
  • Enhanced flashback and recovery mechanisms
  • Features supporting multicloud architectures and autonomous databases

Course Summary and Future Steps

Requirements

  • Solid grasp of Oracle database architecture and administration principles
  • Prior experience managing Oracle 19c or 21c systems
  • Working knowledge of SQL, PL/SQL, and fundamental DBA utilities

Target Audience

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

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