Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
1. Introduction and What's New in Oracle Database 23ai
- Overview of the release, its market positioning, and a developer-centric roadmap.
- High-level exploration 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 configuring Oracle Database 23ai Free for lab exercises.
- Setting up 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)
- Utilising the enhanced JSON data type and JSON collections within application code.
- Understanding duality patterns and deciding when to use relational versus JSON approaches.
- Examples: 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: covering embedding generation, storage, and similarity queries.
- Integrating Vector Search with application code and libraries (discussing LangChain/LlamaIndex examples conceptually).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Understanding driver-level pipelining and async 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 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).
- Overview of SQL Firewall and how it enhances the runtime security of executed SQL.
- Hands-on: migrating a small procedure to utilise new language features and testing SQL Firewall behaviour in a controlled lab.
7. Testing, Debugging, and Deployment Best Practices (Lab)
- Unit testing database logic, generating representative test data, and evaluating behaviour with new features.
- Packaging and deploying developer applications that leverage 23ai features to test environments.
- Checklist: performance tuning, compatibility considerations, and next steps for production readiness.
Summary and Next Steps
Requirements
- A solid understanding of SQL and relational database concepts.
- Practical experience in application development using Java or similar languages.
- Familiarity with fundamental PL/SQL or server-side scripting concepts.
Audience
- Application developers (using Java, Quarkus, or similar technologies).
- Database developers and PL/SQL engineers.
- DevOps engineers responsible for developer tooling and CI environments.
14 Hours
Testimonials (2)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
I found his methods very informative
