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Duration 14 hours
Course Outline
1. Introduction to Oracle Database 23ai Innovations
- Overview of the release, its market positioning, and the developer-centric roadmap.
- High-level exploration of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- How 23ai reshapes standard developer workflows and application architectures.
2. Getting Started: Environment Setup and Tools (Lab)
- Installation and configuration of Oracle Database 23ai Free for laboratory exercises.
- Setting up the JDK, IDE, and client drivers (including JDBC and R2DBC where relevant).
- Establishing initial connections, executing basic queries, and scaffolding a sample project.
3. JSON Relational Duality and Advanced Data Types (Lab)
- Integrating the enhanced JSON data type and JSON collections into application logic.
- Exploring duality patterns: determining when to prefer relational over JSON approaches.
- Case studies: Storing, querying, and modifying JSON objects via Java/Quarkus applications.
4. AI Vector Search and Practical Use Cases (Lab)
- Introduction to AI Vector Search, vector data types, and the creation of vector indexes.
- Developing a semantic search prototype: generating embeddings, storing data, and executing similarity queries.
- Conceptual discussion on integrating Vector Search with application code and libraries (e.g., LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Strategies
- Mastering driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other clients.
- Client-side techniques (such as reactive streams and Java virtual threads) and their impact on server resources.
- Practical lab: Implementing pipelined calls to benchmark and verify throughput gains.
6. SQL, PL/SQL Enhancements, and Security Mechanisms
- New SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- Overview of the SQL Firewall and its role in enhancing runtime SQL security.
- Hands-on exercise: Refactoring a procedure to utilize new language features and testing SQL Firewall behavior in a controlled environment.
7. Testing, Debugging, and Deployment Best Practices (Lab)
- Unit testing database logic, generating representative test datasets, and evaluating performance with new features.
- Packaging and deploying 23ai-enabled developer applications to testing environments.
- Final checklist: Performance tuning, compatibility checks, and preparation for production deployment.
Summary and Future Directions
Requirements
- A solid grasp of SQL and relational database concepts.
- Practical experience in application development using Java or comparable languages.
- Familiarity with foundational PL/SQL or server-side scripting principles.
Target Audience
- Application developers working with Java, Quarkus, or similar frameworks.
- Database developers and PL/SQL engineers.
- DevOps engineers managing developer tooling and CI environments.
Testimonials (2)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
Greg was very patient and helpful
