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Duration 14 hours
Course Outline
1. Introduction and What's New in Oracle Database 23ai
- Overview of the release, its strategic positioning, and the developer-focused roadmap.
- A high-level exploration of AI Vector Search, JSON/relational duality, and async drivers.
- How 23ai transforms standard developer workflows and application design patterns.
2. Hands-On Setup: Environment and Tools (Lab)
- Installation and configuration of Oracle Database 23ai Free for lab exercises.
- Setting up the JDK, IDE, 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 New Data Types (Lab)
- Incorporating the enhanced JSON data type and JSON collections into application code.
- Duality patterns: determining when to utilize relational versus JSON approaches.
- Practical examples of storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Use Cases (Lab)
- Fundamentals of AI Vector Search, including vector data types and indexes.
- Constructing a semantic search example: generating embeddings, storing data, and running similarity queries.
- Integrating Vector Search with application code and libraries (conceptual discussion of LangChain/LlamaIndex examples).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Comprehending 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 to evaluate throughput enhancements.
6. SQL, PL/SQL Enhancements, and Security Controls
- Developer-relevant new SQL/PLSQL features (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- An overview of the SQL Firewall and its role in strengthening runtime security for executed SQL.
- Hands-on exercise: Migrating a small procedure to utilize 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 applications that utilize 23ai features to test environments.
- Checklist for production readiness: Performance tuning, compatibility considerations, and subsequent steps.
Summary and Next Steps
Requirements
- Solid understanding of SQL and relational database fundamentals
- Practical experience in application development using Java or comparable languages
- Basic familiarity with 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 (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
