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Duration 14 hours
Course Outline
1. Introduction and What’s New in Oracle Database 23ai
- Overview of the release, its positioning, and the developer-centric roadmap.
- A high-level tour of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- How 23ai transforms standard developer workflows and application patterns.
2. Getting Hands-on: Environment and Tools (Lab)
- Installing and utilizing Oracle Database 23ai Free for laboratory exercises.
- Configuring the JDK, IDE, and client drivers (JDBC, R2DBC where applicable).
- Establishing the first connection, executing simple queries, and scaffolding a sample project.
3. JSON Relational Duality and New Data Types (Lab)
- Incorporating the improved JSON data type and JSON collections into application code.
- Duality patterns: determining when to adopt relational versus JSON approaches.
- Examples: Storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Use Cases (Lab)
- Introduction to AI Vector Search, vector data types, and vector indexes.
- Constructing a basic semantic-search example: generating, storing, and querying embeddings for similarity.
- Integrating Vector Search with application code and libraries (conceptual discussion of LangChain/LlamaIndex examples).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Understanding driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Client-side patterns (reactive streams, Java virtual threads) and their impact on the server.
- Practical lab: Implementing pipelined calls and measuring throughput enhancements.
6. SQL, PL/SQL Enhancements, and Security Controls
- New SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, 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 lab.
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 that utilize 23ai features to test environments.
- Checklist: Performance tuning, compatibility considerations, and steps toward production readiness.
Summary and Next Steps
Requirements
- A solid grasp of SQL and relational database concepts
- Experience in application development using Java or similar languages
- Familiarity with basic PL/SQL or server-side scripting principles
Target Audience
- Application developers (Java, Quarkus, or similar technologies)
- Database developers and PL/SQL engineers
- DevOps engineers managing developer tooling and CI environments
Testimonials (1)
good explanation on each points and provide assignment for practices.
