Course Outline
1. Introduction and New Features in Oracle Database 23ai
- Overview of the release, 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 configuration of Oracle Database 23ai Free for practical labs.
- 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)
- Incorporating the enhanced JSON data type and JSON collections into application code.
- Understanding duality patterns: determining when to prioritize relational versus JSON approaches.
- Practical examples: storing, querying, and modifying JSON objects within Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Fundamentals of AI Vector Search, including vector data types and vector indexing.
- Constructing a semantic search example: embedding generation, storage, and similarity queries.
- Integrating Vector Search with application code and libraries (with conceptual discussions on LangChain and LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Strategies
- An understanding of driver-level pipelining and asynchronous request patterns across 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 optimize throughput improvements.
6. SQL, PL/SQL Enhancements, and Security Mechanisms
- New SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- An overview of the SQL Firewall and its role in enhancing the runtime security of executed SQL.
- Hands-on exercise: migrating a small 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 representative test data, and evaluating behavior with new features.
- Packaging and deploying developer applications leveraging 23ai features to test environments.
- Checklist: covering performance tuning, compatibility considerations, and roadmap for production readiness.
Summary and Future Steps
Requirements
- A solid grasp of SQL and relational database concepts
- Experience in application development using Java or equivalent languages
- Familiarity with foundational 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 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
