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Duration 14 hours
Course Outline
1. Introduction to Oracle Database 23ai and Key Updates
- Overview of the release, its market positioning, and the developer-focused roadmap.
- Broad 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 practical 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)
- Utilizing the enhanced JSON data type and JSON collections within application code.
- Exploring duality patterns: determining when to prioritize relational over JSON approaches.
- Case studies: Storing, querying, and updating JSON objects via Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Foundations of AI Vector Search, including vector data types and indexing.
- Developing a semantic search prototype: covering embedding generation, storage, and similarity queries.
- Integrating Vector Search with application code and libraries (conceptual discussion of LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- Understanding driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Client-side strategies (reactive streams, Java virtual threads) and their impact on server performance.
- Practical exercise: Implementing pipelined calls to measure and demonstrate throughput gains.
6. SQL, PL/SQL Enhancements, and Security Features
- New SQL/PLSQL capabilities relevant to developers (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- Introduction to the SQL Firewall and its role in enhancing runtime SQL security.
- Hands-on task: 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 realistic test data, and evaluating new feature performance.
- Packaging and deploying 23ai-enabled applications to test environments.
- Checklist covering performance tuning, compatibility checks, and preparation for production readiness.
Summary and Next Steps
Requirements
- Solid grasp of SQL and relational database principles
- Practical experience in application development using Java or comparable languages
- Knowledge of fundamental PL/SQL or server-side scripting concepts
Target Audience
- Application developers working with Java, Quarkus, or similar frameworks
- Database developers and PL/SQL engineers
- DevOps professionals 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
