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Duration 14 hours
Course Outline
1. Introduction and Overview of New Features in Oracle Database 23ai
- Comprehensive release overview, market positioning, and the developer-focused roadmap.
- High-level examination of AI Vector Search, JSON/relational duality, and async driver capabilities.
- Analysis of how 23ai transforms standard developer workflows and application design patterns.
2. Hands-On Setup: Environment and Tooling (Lab)
- Installation and configuration of Oracle Database 23ai Free for lab exercises.
- Setup of JDK, IDEs, and client drivers (including JDBC and R2DBC where relevant).
- Establishing initial connections, executing simple queries, and scaffolding a sample project.
3. JSON Relational Duality and Advanced Data Types (Lab)
- Implementing the improved JSON data type and JSON collections within application code.
- Exploring duality patterns: determining when to utilize relational versus JSON approaches.
- Practical examples: storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Fundamentals of AI Vector Search, including vector data types and indexing strategies.
- Constructing a small-scale semantic search example: generating embeddings, storing data, and executing similarity queries.
- Conceptual discussion on integrating Vector Search with application code and libraries (such as LangChain and LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- Analyzing driver-level pipelining and async request patterns for JDBC, R2DBC, and other compatible drivers.
- Client-side patterns (reactive streams, Java virtual threads) and their impact on server performance.
- Practical lab: implementing pipelined calls and measuring resulting throughput enhancements.
6. SQL, PL/SQL Enhancements, and Security Mechanisms
- Review of new SQL/PLSQL language features beneficial to developers (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- Overview of SQL Firewall and its role in enhancing runtime security for executed SQL statements.
- Hands-on session: migrating a sample procedure to utilize 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 leveraging 23ai features to test environments.
- Comprehensive checklist: performance tuning strategies, compatibility considerations, and pathways to production readiness.
Summary and Recommended Next Steps
Requirements
- A solid grasp of SQL and relational database fundamentals
- Practical experience in application development using Java or similar programming languages
- Basic familiarity with PL/SQL or other server-side scripting concepts
Target Audience
- Application developers working with Java, Quarkus, or comparable frameworks
- Database developers and PL/SQL engineers
- DevOps professionals managing developer tooling and CI environments
Testimonials (2)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
Greg was very patient and helpful
