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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.
- Analyzing how 23ai transforms standard developer workflows and application patterns.
2. Practical Setup: Environment and Tools (Lab)
- Installing and configuring Oracle Database 23ai Free for laboratory exercises.
- Setting up the JDK, IDE, and client drivers (such as 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)
- Incorporating the enhanced JSON data type and JSON collections into application code.
- Exploring duality patterns: determining when to employ relational versus JSON approaches.
- Case studies: Storing, querying, and updating JSON objects via Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Introduction to AI Vector Search, including vector data types and indexing mechanisms.
- Developing a semantic search example: generating embeddings, storing data, and executing similarity queries.
- Integrating Vector Search with application code and libraries (conceptual discussion of 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 strategies (reactive streams, Java virtual threads) and their impact on server performance.
- Practical lab: Implementing pipelined calls and evaluating throughput enhancements.
6. SQL, PL/SQL Improvements, and Security Measures
- Review of 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 its role in strengthening 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, creating representative test data, and assessing the performance of new features.
- Packaging and deploying developer applications that utilize 23ai features to test environments.
- Checklist: Reviewing performance tuning, compatibility considerations, and subsequent 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 comparable languages
- Familiarity with basic PL/SQL or server-side scripting principles
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 (1)
good explanation on each points and provide assignment for practices.
