Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Oracle 23ai
- Summary of Oracle 23ai features and strategic vision
- Significant distinctions compared to 19c and 21c
- AI integration strategies and support for modern workloads
AI Vector Search and Embeddings
- AI Vector Search: understanding architecture and practical applications
- Techniques for storing and indexing vectors within Oracle 23ai
- Real-world examples for search optimization and AI inference
Automation and Observability
- New observability dashboards and telemetry capabilities
- Enhanced automation to streamline DBA tasks
- Proactive alerting mechanisms and resource monitoring improvements
Performance and SQL Improvements
- SQL advancements in Oracle 23ai
- Upgrades in indexing, join operations, and query optimization
- Real-time statistical analysis and enhanced diagnostic tools
Security and Compliance
- New auditing protocols and encryption capabilities
- Improvements in policy management
- Seamless integration with Oracle Cloud Infrastructure (OCI) security controls
Upgrade and Migration Strategy
- Evaluating system readiness and compatibility
- Tools and best practices for seamless upgrades
- Considerations for hybrid cloud environments
Backup, Recovery, and Cloud Solutions
- Changes to backup mechanisms in Oracle 23ai
- Enhancements to Flashback and recovery processes
- Multicloud strategies and autonomous database features
Recap and Future Steps
Requirements
- Solid comprehension of Oracle database architecture and administrative responsibilities
- Proven experience operating Oracle 19c or 21c environments
- Proficiency in SQL, PL/SQL, and standard DBA toolsets
Target Audience
- Oracle database administrators
- Database architects
- Infrastructure engineers supporting Oracle-based systems
14 Hours
Testimonials (1)
good explanation on each points and provide assignment for practices.
