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Duration 14 hours
Course Outline
1. Introduction to Oracle Database 23ai and New Features
- Overview of the release, its market position, and the developer-focused roadmap.
- A high-level review of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- How 23ai transforms standard developer workflows and application design patterns.
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).
- Establishing initial connections, executing simple queries, and scaffolding a sample project.
3. JSON Relational Duality and Advanced Data Types (Lab)
- Working with the enhanced JSON data type and JSON collections in application code.
- Duality strategies: determining when to adopt relational versus JSON approaches.
- Case studies: storing, querying, and modifying JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Overview of AI Vector Search, vector data types, and vector indexing.
- Constructing a semantic search example: generating embeddings, storing data, and performing similarity queries.
- Integrating Vector Search with application code and libraries (conceptual discussions on LangChain/LlamaIndex examples).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- Exploring driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Client-side techniques (reactive streams, Java virtual threads) and their impact on server performance.
- Practical exercise: implementing pipelined calls and analyzing throughput gains.
6. SQL, PL/SQL Advancements, and Security Measures
- New SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, new Boolean type).
- An introduction to the SQL Firewall and its role in enhancing runtime security for executed SQL.
- Practical task: adapting a small procedure to use new language features and verifying SQL Firewall behavior in a controlled lab setting.
7. Best Practices for Testing, Debugging, and Deployment (Lab)
- Unit testing database logic, creating representative test data, and assessing behavior with new features.
- Packaging and deploying developer applications that utilize 23ai features to test environments.
- Checklist: performance tuning, compatibility checks, and subsequent steps for production readiness.
Conclusion and Future Steps
Requirements
- A solid grasp of SQL and relational database principles
- Practical experience with application development in Java or comparable languages
- Basic knowledge of PL/SQL or server-side scripting concepts
Target Audience
- Application developers (working with Java, Quarkus, or similar technologies)
- Database developers and PL/SQL engineers
- DevOps engineers overseeing 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
