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Duration 14 hours
Course Outline
1. Introduction and New Features in Oracle Database 23ai
- Overview of the release, its market positioning, and the developer-focused roadmap.
- High-level examination of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- Analysis of how 23ai transforms standard developer workflows and application architectures.
2. Practical Setup: Environment and Tools (Lab)
- Installation and configuration of Oracle Database 23ai Free for laboratory use.
- Setting up the JDK, IDE, and client drivers (including JDBC and R2DBC where relevant).
- Establishing the first connection, executing simple 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 code.
- Evaluating duality patterns to determine when relational versus JSON approaches are most effective.
- Demonstrations: storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Application Use Cases (Lab)
- Fundamentals of AI Vector Search, vector data types, and vector indexing.
- Developing a semantic-search prototype: covering embedding generation, storage, and similarity querying.
- Conceptual discussion on integrating Vector Search with application code and libraries (e.g., LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- Understanding driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other clients.
- Client-side strategies (reactive streams, Java virtual threads) and their impact on server performance.
- Practical exercise: implementing pipelined calls and analyzing throughput enhancements.
6. SQL, PL/SQL Improvements, and Security Mechanisms
- New SQL/PLSQL language features for 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 security for executed SQL.
- Hands-on activity: migrating a sample procedure to utilize new language features and testing SQL Firewall behavior in a controlled environment.
7. Best Practices for Testing, Debugging, and Deployment (Lab)
- Unit testing database logic, generating realistic test data, and measuring performance with new features.
- Packaging and deploying developer applications leveraging 23ai capabilities to test environments.
- Readiness checklist: performance tuning, compatibility checks, and strategies for production deployment.
Summary and Future Directions
Requirements
- Proficiency in SQL and fundamental relational database concepts.
- Practical experience with application development in Java or comparable programming languages.
- Knowledge of basic 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 overseeing developer tooling and CI environments.
Testimonials (1)
good explanation on each points and provide assignment for practices.
