Course Outline
1. Introduction and Key Innovations in Oracle Database 23ai
- Overview of the release, strategic positioning, and developer-focused roadmap.
- A comprehensive look at AI Vector Search, JSON/relational duality, and asynchronous drivers.
- Exploring how 23ai reshapes standard developer workflows and application architectures.
2. Practical Setup: Environment and Tools (Lab)
- Installation and configuration of Oracle Database 23ai Free for laboratory exercises.
- Configuration of JDK, IDEs, 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)
- Integrating the enhanced JSON data type and collections into application code.
- Evaluating duality patterns to determine when relational versus JSON approaches are most effective.
- Demonstrations: Storing, retrieving, and modifying JSON objects via Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Foundations of AI Vector Search, including vector data types and indexing.
- 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 Strategies
- Comprehending driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other interfaces.
- Analyzing client-side patterns (such as reactive streams and Java virtual threads) and their impact on the server.
- Practical exercise: Implementing pipelined calls and assessing throughput enhancements.
6. SQL, PL/SQL Advancements, and Security Mechanisms
- New SQL/PLSQL language features pertinent to developers (e.g., schema annotations, direct updates via joins, and the new Boolean type).
- An examination of SQL Firewall and its role in strengthening the runtime security of executed SQL.
- Practical task: Migrating a small procedure to utilize new language features and validating SQL Firewall behavior in a controlled environment.
7. Best Practices for Testing, Debugging, and Deployment (Lab)
- Unit testing database logic, generating relevant test data, and evaluating performance with new features.
- Packaging and deploying developer applications leveraging 23ai features to test environments.
- Final checklist: Performance optimization, compatibility checks, and preparatory steps for production readiness.
Wrap-up and Future Steps
Requirements
- A solid grasp of SQL and relational database principles
- Practical experience in application development using Java or comparable languages
- Basic familiarity with PL/SQL or server-side scripting concepts
Target Audience
- Application developers working with Java, Quarkus, or similar frameworks
- Database developers and PL/SQL engineers
- DevOps professionals 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
it was structured very well both by days and by modules, easy to follow
