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Course Outline
1. Introduction and What's New in Oracle Database 23ai
- Overview of the release, positioning, and 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)
- Utilizing the improved JSON data type and JSON collections in application code.
- Exploring duality patterns: choosing between relational and JSON approaches.
- Examples of storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Use Cases (Lab)
- Introduction to AI Vector Search, 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 (concepts for LangChain/LlamaIndex discussed).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Understanding driver-level pipelining and async request patterns for JDBC, R2DBC, and other drivers.
- Client-side patterns (reactive streams, Java virtual threads) and their server impact.
- Practical lab: implementing pipelined calls and measuring throughput improvements.
6. SQL, PL/SQL Enhancements, and Security Controls
- 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 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 evaluating behavior with new features.
- Packaging and deploying developer apps that use 23ai features into test environments.
- Checklist: performance tuning, compatibility considerations, and next steps for production readiness.
Summary and Next Steps
Requirements
- Understanding of SQL and relational database concepts
- Experience in application development using 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 managing 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
