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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
Testimonials (1)
good explanation on each points and provide assignment for practices.