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Duration 14 hours
Course Outline
1. Overview and Novelties in Oracle Database 23ai
- Release summary, strategic positioning, and the developer-oriented roadmap.
- Comprehensive tour of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- Impact of 23ai on standard developer workflows and application architectures.
2. Practical Setup: Environment and Tools (Lab)
- Installation and utilization of Oracle Database 23ai Free for laboratory exercises.
- Configuration of JDK, IDE, and client drivers (JDBC, R2DBC where relevant).
- Initial connection, basic querying, and scaffolding of a sample project.
3. JSON Relational Duality and Emerging Data Types (Lab)
- Implementation of the enhanced JSON data type and JSON collections within application code.
- Duality patterns: Determining when to prefer relational versus JSON approaches.
- Practical examples: Storing, querying, and modifying JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Foundations of AI Vector Search, including vector data types and indexing.
- Constructing a semantic search prototype: embedding creation, storage, and similarity retrieval.
- Integrating Vector Search with application code and libraries (conceptual discussions on LangChain/LlamaIndex examples).
5. Asynchronous Programming, Pipelining, and Performance Strategies
- Comprehending driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Client-side patterns (reactive streams, Java virtual threads) and their impact on server performance.
- Practical lab: Implementing pipelined calls and evaluating throughput enhancements.
6. SQL, PL/SQL Improvements, and Security Mechanisms
- New SQL/PLSQL language features beneficial to developers (e.g., schema annotations, direct joins in updates, new Boolean type).
- Insights into SQL Firewall and its role in strengthening the runtime security of executed SQL.
- Practical task: Refactoring a small procedure to utilize new language features and verifying SQL Firewall behavior in a controlled lab.
7. Testing, Debugging, and Deployment Best Practices (Lab)
- Unit testing database logic, creating representative test data, and assessing performance with new features.
- Packaging and deploying developer applications utilizing 23ai features to test environments.
- Review checklist: Performance tuning, compatibility checks, and roadmap for production readiness.
Wrap-up and Future Directions
Requirements
- Solid grasp of SQL and relational database principles
- Proficiency in application development using Java or comparable languages
- Knowledge of fundamental PL/SQL or server-side scripting concepts
Target Audience
- Application developers (Java, Quarkus, or similar technologies)
- Database developers and PL/SQL engineers
- DevOps engineers managing developer tooling and CI environments
Testimonials (1)
good explanation on each points and provide assignment for practices.
