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Course Outline
1. Introduction and What's New in Oracle Database 23ai
- Overview of the release, its market positioning, and a developer-centric roadmap.
- A high-level tour of AI Vector Search, JSON/relational duality, and async drivers.
- 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 lab exercises.
- Setting up the JDK, IDE, and client drivers (such as JDBC and R2DBC where applicable).
- Establishing the first connection, running simple queries, and scaffolding a sample project.
3. JSON Relational Duality and New Data Types (Lab)
- Utilizing the improved JSON data type and JSON collections within application code.
- Exploring duality patterns to determine when to use relational versus JSON approaches.
- Examples demonstrating how to store, query, and update JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Use Cases (Lab)
- Introduction to AI Vector Search, including vector data types and vector indexes.
- Building a small semantic-search example involving embedding generation, storage, and similarity queries.
- Conceptual discussion on integrating Vector Search with application code and libraries (with references to LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Understanding driver-level pipelining and async request patterns for JDBC, R2DBC, and other drivers.
- Examining client-side patterns (reactive streams, Java virtual threads) and their impact on the server.
- Practical lab: implementing pipelined calls and measuring 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 new Boolean type).
- Overview of SQL Firewall and how it enhances runtime security for executed SQL.
- Hands-on exercise: migrating a small procedure to utilize new language features and testing SQL Firewall behaviour in a controlled lab.
7. Testing, Debugging, and Deployment Best Practices (Lab)
- Unit testing database logic, generating representative test data, and measuring behaviour with new features.
- Packaging and deploying developer applications that leverage 23ai features into 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 concepts.
Target Audience
- Application developers (particularly those using Java, Quarkus, or comparable technologies).
- Database developers and PL/SQL engineers.
- DevOps engineers responsible for managing developer tooling and CI environments.
14 Hours
Testimonials (1)
good explanation on each points and provide assignment for practices.
