Course Outline
1. Introduction and What's New in Oracle Database 23ai
- Release overview, positioning, and the developer-centric roadmap.
- A high-level tour of AI Vector Search, JSON/relational duality, and async drivers.
- How 23ai transforms typical developer workflows and application patterns.
2. Getting Hands-on: Environment and Tools (Lab)
- Installing and using Oracle Database 23ai Free for labs.
- Setting up the JDK, IDE, and client drivers (JDBC, R2DBC where applicable).
- Establishing the first connection, running simple queries, and scaffolding a sample project.
3. JSON Relational Duality and New Data Types (Lab)
- Utilizing the improved JSON data type and JSON collections within application code.
- Understanding duality patterns: when to choose relational vs. JSON approaches.
- Examples demonstrating storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Use Cases (Lab)
- Introduction to AI Vector Search, including vector data types and vector indexes.
- Building a small semantic-search example: embedding generation, storage, and similarity queries.
- Integrating Vector Search with application code and libraries (LangChain/LlamaIndex examples discussed conceptually).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Understanding driver-level pipelining and async request patterns for JDBC, R2DBC, and other drivers.
- Exploring client-side patterns (reactive streams, Java virtual threads) and their impact on the server.
- Practical lab: implementing pipelined calls and measuring throughput improvements.
6. SQL, PL/SQL Enhancements, and Security Controls
- Exploring new SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, new Boolean type).
- An overview of SQL Firewall and how it enhances runtime security for executed SQL.
- Hands-on activity: migrating a small procedure to use new language features and testing SQL Firewall behavior in a controlled lab.
7. Testing, Debugging, and Deployment Best Practices (Lab)
- Unit testing database logic, generating representative test data, and measuring behavior with new features.
- Packaging and deploying developer apps that utilize 23ai features into test environments.
- Checklist for performance tuning, compatibility considerations, and next steps toward production readiness.
Summary and Next Steps
Requirements
- A solid understanding of SQL and relational database concepts.
- Practical experience with application development in Java or similar languages.
- Familiarity with basic PL/SQL or server-side scripting concepts.
Audience
- Application developers (Java, Quarkus, or similar).
- Database developers and PL/SQL engineers.
- DevOps engineers responsible for 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
Learning about a new tool, the practices help a lot in understanding the topics, and that was what I liked the most.
David Vargas Alpizar - BANCO BAC SAN JOSE S.A
Course - Oracle Database 19c: Administration
Machine Translated
I found his methods very informative
