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Duration 14 hours
Course Outline
1. Introduction: What's New in Oracle Database 23ai
- Overview of the release, its market positioning, and the developer-focused roadmap.
- A high-level examination of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- How 23ai transforms standard developer workflows and application architectures.
2. Hands-On Introduction: Environment and Tools (Lab)
- Installing and configuring 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 simple queries, and scaffolding a sample project.
3. JSON Relational Duality and Advanced Data Types (Lab)
- Implementing the enhanced JSON data type and JSON collections within application code.
- Exploring duality patterns: determining when to favour 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.
- Constructing a small-scale semantic search project: generating embeddings, storing data, and executing similarity queries.
- Conceptual discussion on integrating Vector Search with application code and libraries (e.g., LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- 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 impact on the server.
- Practical lab: implementing pipelined calls and analysing throughput improvements.
6. SQL, PL/SQL Enhancements, and Security Measures
- New SQL/PLSQL language features relevant to developers, including schema annotations, direct joins in updates, and the new Boolean type.
- An overview of SQL Firewall and its role in enhancing runtime security for executed SQL.
- Hands-on activity: migrating a small procedure to utilize new language features and testing SQL Firewall behaviour in a controlled lab environment.
7. Best Practices for Testing, Debugging, and Deployment (Lab)
- Unit testing database logic, generating representative test data, and assessing behaviour with new features.
- Packaging and deploying developer applications that leverage 23ai features to test environments.
- Checklist: performance tuning, compatibility considerations, and next steps for production readiness.
Summary and Next Steps
Requirements
- A solid understanding of SQL and relational database concepts
- Practical experience in application development using Java or similar languages
- Familiarity with fundamental PL/SQL or server-side scripting principles
Target Audience
- Application developers working with Java, Quarkus, or similar technologies
- 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
