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Course Outline
Introduction to Oracle 23ai
- Overview of Oracle 23ai features and strategic vision
- Key distinctions from versions 19c and 21c
- AI integration and support for modern workloads
AI Vector Search and Embeddings
- Architecture and use cases for AI Vector Search
- Techniques for storing and indexing vectors in Oracle 23ai
- Practical examples for search operations and AI inference
Automation and Observability
- New observability dashboards and telemetry capabilities
- Advanced automation for database administrator tasks
- Proactive alerting systems and resource monitoring
Performance and SQL Enhancements
- SQL improvements in Oracle 23ai
- Advancements in indexing, join operations, and query optimization
- Real-time statistics and enhanced diagnostic tools
Security and Compliance
- New auditing and encryption functionalities
- Enhanced policy management capabilities
- Integration with Oracle Cloud Infrastructure (OCI) security controls
Upgrade and Migration Planning
- Assessing readiness and compatibility for upgrades
- Recommended tools and best practices for the upgrade process
- Considerations for hybrid cloud deployments
Backup, Recovery, and Cloud Options
- Changes to backup procedures in Oracle 23ai
- Enhancements to flashback and recovery mechanisms
- Multicloud and autonomous database features
Summary and Next Steps
Requirements
- Solid understanding of Oracle database architecture and administration principles
- Practical experience with Oracle 19c or 21c
- Familiarity with SQL, PL/SQL, and fundamental DBA tools
Target Audience
- Oracle database administrators
- Database architects
- Infrastructure engineers managing Oracle environments
14 Hours
Testimonials (1)
good explanation on each points and provide assignment for practices.
