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Duration 14 hours
Course Outline
1. Introduction to Oracle Database 23ai Innovations
- Overview of the release, strategic positioning, and the developer-centric roadmap.
- A high-level exploration of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- Examining how 23ai reshapes standard developer workflows and application design patterns.
2. Practical Setup: Environment and Tools (Lab)
- Installation and configuration of Oracle Database 23ai Free for laboratory exercises.
- Setting up 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)
- Implementing the enhanced JSON data type and JSON collections within application logic.
- Evaluating duality patterns to decide between relational and JSON approaches.
- Practical examples: managing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Real-World Applications (Lab)
- Understanding AI Vector Search, vector data types, and the creation of vector indexes.
- Constructing a semantic search prototype: covering embedding generation, storage, and similarity queries.
- Conceptual integration of Vector Search with application code and libraries (e.g., LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- Analyzing driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Client-side strategies (such as reactive streams and Java virtual threads) and their impact on server performance.
- Lab exercise: implementing pipelined calls to quantify throughput enhancements.
6. SQL, PL/SQL Advances, and Security Mechanisms
- Developer-relevant SQL/PLSQL features (including schema annotations, direct joins in updates, and the new Boolean type).
- Understanding SQL Firewall and its role in strengthening the runtime security of executed SQL.
- Practical task: updating a procedure to utilize new language features and testing SQL Firewall behavior in a controlled environment.
7. Testing, Debugging, and Deployment Strategies (Lab)
- Unit testing database logic, generating realistic test data, and assessing performance with new features.
- Packaging and deploying 23ai-enabled developer applications to test environments.
- Final checklist: performance tuning, compatibility assessments, and pathways to production readiness.
Summary and Next Steps
Requirements
- A solid grasp of SQL and relational database principles
- Proficiency in application development using Java or comparable languages
- Familiarity with fundamental PL/SQL or server-side scripting concepts
Target Audience
- Application developers working with Java, Quarkus, or similar frameworks
- Database developers and PL/SQL specialists
- DevOps engineers managing developer tooling and CI environments
Testimonials (3)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
presentation skills, prompt answers to all questions
Oana - OPEN COURSE
Course - Oracle SQL LP - Fundamentals
The exercises and "tests" that we performed
Paola Maccali
Course - Oracle SQL for beginners
Machine Translated
