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 Duration 14 hours

Course Outline

Introduction to Oracle 23ai

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

AI Vector Search and Embeddings

  • AI Vector Search: understanding the architecture and practical applications
  • Managing and indexing vector data within Oracle 23ai
  • Real-world examples for search and AI inference tasks

Automation and Observability

  • Introduction to new observability dashboards and telemetry data
  • Strengthened automation for routine DBA responsibilities
  • Advanced alerting mechanisms and resource tracking

Performance and SQL Improvements

  • SQL advancements introduced in Oracle 23ai
  • Optimizations in indexing, joins, and query execution
  • Real-time statistical data and refined diagnostic tools

Security and Compliance

  • Updated auditing and encryption capabilities
  • Enhancements to policy management systems
  • Alignment with Oracle Cloud Infrastructure (OCI) security controls

Upgrade and Migration Strategy

  • Evaluating system readiness and compatibility
  • Tools and recommended practices for the upgrade process
  • Considerations for hybrid cloud environments

Backup, Recovery, and Cloud Solutions

  • Changes to backup procedures in Oracle 23ai
  • Advancements in Flashback and recovery mechanisms
  • Features for multicloud setups and autonomous databases

Wrap-up and Future Directions

Requirements

  • A solid grasp of Oracle database architecture and administrative principles
  • Prior experience managing Oracle 19c or 21c environments
  • Working knowledge of SQL, PL/SQL, and fundamental DBA utilities

Target Audience

  • Oracle database administrators
  • Database architects
  • Infrastructure engineers responsible for Oracle systems

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