Course Outline
1. Introduction and Overview of New Features in Oracle Database 23ai
- An overview of the release, its positioning, and the developer-focused roadmap.
- A high-level exploration of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- An analysis of how 23ai transforms standard developer workflows and application architectures.
2. Hands-On Setup: Environment and Tools (Lab)
- Installing and configuring Oracle Database 23ai Free for lab activities.
- Setting up the JDK, IDE, and client drivers (including JDBC and R2DBC where relevant).
- Establishing initial connections, executing simple queries, and creating a sample project structure.
3. JSON Relational Duality and Advanced Data Types (Lab)
- Utilizing the enhanced JSON data type and JSON collections within application code.
- Understanding duality patterns and determining when to employ relational versus JSON approaches.
- Practical examples: storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Practical Application Scenarios (Lab)
- An introduction to AI Vector Search, vector data types, and vector indexes.
- Creating a small-scale semantic search example, covering embedding generation, storage, and similarity queries.
- Integrating Vector Search with application code and libraries, with conceptual discussions of LangChain and LlamaIndex examples.
5. Asynchronous Programming, Pipelining, and Performance Strategies
- Comprehending driver-level pipelining and async request patterns for JDBC, R2DBC, and other drivers.
- Examining client-side patterns (such as reactive streams and Java virtual threads) and their impact on server performance.
- Practical lab: Implementing pipelined calls and measuring throughput enhancements.
6. SQL, PL/SQL Improvements, and Security Mechanisms
- Exploring 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 enhancing the runtime security of executed SQL.
- Hands-on exercise: Refactoring a small procedure to incorporate new language features and testing SQL Firewall behavior in a controlled lab environment.
7. Best Practices for Testing, Debugging, and Deployment (Lab)
- Unit testing database logic, generating representative test data, and assessing behavior with new features.
- Packaging and deploying developer applications that utilize 23ai features to test environments.
- Reviewing a checklist for performance tuning, compatibility considerations, and steps toward production readiness.
Conclusion and Future Steps
Requirements
- A solid grasp of SQL and relational database principles
- Proficiency in application development using Java or comparable languages
- Knowledge of basic PL/SQL or server-side scripting concepts
Target Audience
- Application developers working with Java, Quarkus, or similar technologies
- 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
it was structured very well both by days and by modules, easy to follow
