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Duration 14 hours
Course Outline
1. Introduction to Oracle Database 23ai and Its New Capabilities
- Release overview, strategic positioning, and the developer-centric roadmap.
- A comprehensive look at 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.
- Preparing the JDK, IDE, and client drivers (including JDBC and R2DBC where relevant).
- Establishing initial connections, executing basic queries, and scaffolding a sample project.
3. JSON Relational Duality and Advanced Data Types (Lab)
- Incorporating the refined JSON data type and JSON collections into application code.
- Understanding duality patterns: selecting between relational and JSON approaches based on context.
- Demonstrations: managing, querying, and modifying JSON objects within Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Foundations of AI Vector Search, vector data types, and vector indexing.
- Developing a semantic search prototype: generating embeddings, storing data, and executing similarity queries.
- Integrating Vector Search with application code and libraries (conceptual discussions of LangChain/LlamaIndex integration).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- Exploring 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 exercise: implementing pipelined calls and analyzing throughput enhancements.
6. SQL, PL/SQL Advancements, and Security Enhancements
- Reviewing new SQL/PLSQL features for 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 runtime SQL security.
- Hands-on activity: refactoring a procedure to utilize new language features and validating SQL Firewall behavior in a controlled lab setting.
7. Best Practices for Testing, Debugging, and Deployment (Lab)
- Unit testing database logic, creating representative test data, and evaluating performance with new features.
- Packaging and deploying developer applications leveraging 23ai capabilities to test environments.
- Review checklist: performance tuning, compatibility assessments, and pathways to production readiness.
Conclusion and Future Steps
Requirements
- A solid grasp of SQL and relational database concepts
- Proficiency in application development using Java or comparable languages
- Knowledge of fundamental PL/SQL or server-side scripting principles
Target 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.
