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Duration 14 hours
Course Outline
1. Introduction and New Features in Oracle Database 23ai
- Overview of the release, its strategic positioning, and the developer-focused roadmap.
- A high-level exploration of AI Vector Search, JSON/relational duality, and async 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, 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 Enhanced Data Types (Lab)
- Integrating the improved JSON data type and JSON collections into application code.
- Understanding duality patterns: determining when to adopt relational versus JSON approaches.
- Practical examples: 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.
- Constructing a small semantic-search prototype: covering embedding generation, storage, and similarity queries.
- Integrating Vector Search with application code and libraries (conceptual discussions on LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- Analyzing 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 impact on server performance.
- Practical lab: implementing pipelined calls to measure and verify throughput enhancements.
6. SQL, PL/SQL Enhancements, and Security Mechanisms
- Developer-relevant new SQL/PLSQL language features (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- An overview of SQL Firewall and its role in enhancing the runtime security of executed SQL.
- Hands-on exercise: migrating a small procedure to leverage new language features and testing SQL Firewall behavior in a controlled lab.
7. Testing, Debugging, and Deployment Best Practices (Lab)
- Unit testing database logic, generating representative test data, and evaluating behavior with new features.
- Packaging and deploying developer applications utilizing 23ai features to test environments.
- Final checklist: covering performance tuning, compatibility considerations, and next steps for production readiness.
Summary and Next Steps
Requirements
- A solid grasp of SQL and relational database fundamentals
- Practical experience in application development using Java or similar languages
- Basic familiarity with PL/SQL or other server-side scripting concepts
Audience
- Application developers working with Java, Quarkus, or comparable technologies
- Database developers and PL/SQL engineers
- DevOps engineers managing developer tooling and CI environments
Testimonials (3)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
presentation skills, prompt answers to all questions
Oana - OPEN COURSE
Course - Oracle SQL LP - Fundamentals
it was structured very well both by days and by modules, easy to follow
