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Duration 14 hours
Course Outline
1. Introduction and New Innovations in Oracle Database 23ai
- Overview of the release, its strategic positioning, and the developer-focused roadmap.
- A high-level review of AI Vector Search, JSON/relational duality, and async drivers.
- How 23ai transforms typical developer workflows and application architectures.
2. Practical Setup: Environment and Tools (Lab)
- Installation and utilization of Oracle Database 23ai Free for laboratory exercises.
- Configuration of JDK, IDE, and client drivers (such as 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 favor relational versus JSON approaches.
- Case studies: 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 indexes.
- Constructing a semantic search example: covering embedding generation, storage, and similarity queries.
- Integrating Vector Search with application code and libraries (conceptual discussion of LangChain/LlamaIndex examples).
5. Asynchronous Programming, Pipelining, and Performance Strategies
- Understanding driver-level pipelining and async request patterns for JDBC, R2DBC, and other drivers.
- Client-side approaches (reactive streams, Java virtual threads) and their impact on the server.
- Practical lab: implementing pipelined calls to measure throughput enhancements.
6. SQL, PL/SQL Enhancements, and Security Mechanisms
- New SQL/PLSQL language features pertinent to developers (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- An overview of SQL Firewall and its role in strengthening the runtime security of executed SQL.
- Practical exercise: migrating a small procedure to utilize new language features and testing SQL Firewall behavior in a controlled environment.
7. Testing, Debugging, and Deployment Best Practices (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.
- Checklist: performance tuning, compatibility factors, and subsequent steps for production readiness.
Summary and Future Steps
Requirements
- A solid understanding of SQL and relational database concepts
- Experience with application development in Java or comparable languages
- Familiarity with fundamental PL/SQL or server-side scripting principles
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
