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Duration 14 hours
Course Outline
1. Introduction and Overview of Oracle Database 23ai Innovations
- Release summary, market positioning, and the developer-focused roadmap.
- A high-level exploration of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- How 23ai transforms standard developer workflows and application architectures.
2. Hands-On Setup: Environment and Tools (Lab)
- Installation and utilization of Oracle Database 23ai Free for laboratory exercises.
- Configuration of JDK, IDEs, and client drivers (including JDBC and R2DBC where relevant).
- Establishing initial connections, executing basic queries, and creating a sample project structure.
3. JSON Relational Duality and New Data Types (Lab)
- Applying the enhanced JSON data type and JSON collections within application code.
- Duality patterns: determining when to adopt relational versus JSON approaches.
- Case studies: storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Introduction to AI Vector Search, vector data types, and vector indexing.
- Developing a basic semantic search example: generating embeddings, storing data, and running similarity queries.
- Integrating Vector Search with application code and libraries (conceptual discussion of LangChain/LlamaIndex examples).
5. Asynchronous Programming, Pipelining, and Performance Strategies
- Understanding driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Client-side patterns (such as reactive streams and Java virtual threads) and their server-side implications.
- Practical lab: implementing pipelined calls and evaluating throughput enhancements.
6. SQL, PL/SQL Advancements, and Security Controls
- New SQL/PL/SQL language features pertinent to developers (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- An overview of SQL Firewall and its role in strengthening the runtime security of executed SQL.
- Hands-on activity: updating a small procedure to utilize new language features and testing SQL Firewall behavior in a controlled lab setting.
7. Testing, Debugging, and Deployment Best Practices (Lab)
- Unit testing database logic, generating representative test data, and assessing behavior with new features.
- Packaging and deploying developer applications leveraging 23ai features to test environments.
- Checklist: performance tuning, compatibility considerations, and subsequent steps for production readiness.
Summary and Future Directions
Requirements
- A solid grasp of SQL and relational database principles
- Practical experience in application development using Java or comparable languages
- Basic familiarity with 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 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
