Course Outline
1. Introduction and New Features in Oracle Database 23ai
- Overview of the release, its positioning, and the developer-focused roadmap.
- A comprehensive look at AI Vector Search, JSON/relational duality, and asynchronous drivers.
- Exploration of how 23ai transforms standard developer workflows and application design patterns.
2. Practical Setup: Environment and Tools (Lab)
- Installation and configuration of Oracle Database 23ai Free for laboratory work.
- Setting up the JDK, IDE, and client drivers (including JDBC and R2DBC where applicable).
- Establishing the initial connection, executing basic queries, and scaffolding a sample project.
3. JSON Relational Duality and New Data Types (Lab)
- Utilizing the enhanced JSON data type and JSON collections within application code.
- Duality patterns: determining when to prioritize relational versus JSON approaches.
- Demonstrations: storing, querying, and modifying JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Introduction to AI Vector Search, vector data types, and vector indexing.
- Constructing a semantic search example: generating, storing, and querying embeddings for similarity.
- Integrating Vector Search with application code and libraries (conceptual discussion of LangChain/LlamaIndex examples).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- Comprehending driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Client-side patterns (such as reactive streams and Java virtual threads) and their impact on the server.
- Practical exercise: implementing pipelined calls to assess throughput enhancements.
6. SQL, PL/SQL Enhancements, and Security Measures
- Novel SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- An overview of SQL Firewall and its role in enhancing the runtime security of executed SQL.
- Hands-on activity: refactoring a small procedure to utilize new language features and testing SQL Firewall behavior in a controlled lab setting.
7. Testing, Debugging, and Deployment Best Practices (Lab)
- Unit testing database logic, generating representative test data, and evaluating behavior with new features.
- Packaging and deploying developer applications that leverage 23ai features to test environments.
- Checklist: performance tuning, compatibility considerations, and preparation steps for production readiness.
Summary and Subsequent Steps
Requirements
- A solid grasp of SQL and relational database principles
- Experience with application development in Java or comparable programming languages
- Familiarity with fundamental PL/SQL or server-side scripting concepts
Target Audience
- Application developers working with Java, Quarkus, or similar technologies
- Database developers and PL/SQL engineers
- 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
