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Duration 14 hours
Course Outline
1. Introduction and New Features 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.
- How 23ai transforms typical developer workflows and application design patterns.
2. Getting Started: Environment Setup and Tools (Lab)
- Installing and configuring Oracle Database 23ai Free for laboratory work.
- Setting up the 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 New Data Types (Lab)
- Incorporating the enhanced JSON data type and JSON collections into application code.
- Understanding duality patterns: deciding when to use relational versus JSON approaches.
- Practical examples: storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- An introduction to AI Vector Search, vector data types, and vector indexing.
- Developing a basic semantic search example, covering embedding generation, storage, and similarity queries.
- Discussing the conceptual integration of Vector Search with application code and libraries (such as LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- Comprehending driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Examining client-side patterns (like reactive streams and Java virtual threads) and their impact on server performance.
- Practical lab: implementing pipelined calls and measuring the resulting throughput improvements.
6. SQL, PL/SQL Enhancements, and Security Controls
- Reviewing 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 how it enhances the runtime security of executed SQL statements.
- Hands-on activity: refactoring a small procedure to utilize new language features and testing SQL Firewall behavior in a controlled lab setting.
7. Best Practices for Testing, Debugging, and Deployment (Lab)
- Unit testing database logic, generating representative test data, and evaluating behavior with new features.
- Packaging and deploying developer applications that leverage 23ai features to test environments.
- Final checklist: performance tuning, compatibility considerations, and next steps toward production readiness.
Summary and Future Steps
Requirements
- A solid grasp of SQL and relational database concepts
- Experience with application development using Java or similar programming languages
- Basic familiarity with PL/SQL or server-side scripting concepts
Target Audience
- Application developers working with Java, Quarkus, or comparable technologies
- Database developers and PL/SQL engineers
- DevOps engineers managing developer tooling and CI/CD 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
