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Duration 14 hours
Course Outline
1. Introduction and What's New in Oracle Database 23ai
- Overview of the release, its market positioning, and the developer-centric roadmap.
- A high-level exploration of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- An analysis of how 23ai transforms typical developer workflows and application patterns.
2. Getting Hands-on: Environment and Tools (Lab)
- Installing and configuring 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 simple queries, and scaffolding a sample project.
3. JSON Relational Duality and New Data Types (Lab)
- Working with the improved JSON data type and JSON collections in application code.
- Understanding duality patterns: determining when to choose relational versus JSON approaches.
- Practical examples: storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Use Cases (Lab)
- An introduction to AI Vector Search, vector data types, and vector indexing.
- Building a semantic-search example: generating embeddings, storing data, and running similarity queries.
- Conceptual discussion on integrating Vector Search with application code and libraries (e.g., LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Understanding driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Exploring client-side patterns (such as reactive streams and Java virtual threads) and their impact on the server.
- Practical lab: implementing pipelined calls and measuring the resulting throughput improvements.
6. SQL, PL/SQL Enhancements, and Security Controls
- New SQL/PLSQL language features relevant to developers (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 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 measuring performance with new features.
- Packaging and deploying developer applications that utilize 23ai features to test environments.
- Final checklist: performance tuning, compatibility considerations, and next steps for production readiness.
Summary and Next Steps
Requirements
- A solid grasp of SQL and relational database concepts
- Hands-on experience with application development in Java or similar programming languages
- Basic familiarity with 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
