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Duration 14 hours
Course Outline
1. Introduction and What's New in Oracle Database 23ai
- An overview of the release, its positioning, and the developer-centric roadmap.
- A high-level exploration of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- An analysis of how 23ai transforms typical developer workflows and application patterns.
2. Getting Hands-on: Environment and Tools (Lab)
- Installation and configuration of Oracle Database 23ai Free for laboratory use.
- Setup of JDK, IDE, and client drivers (including JDBC and R2DBC where applicable).
- Establishing initial connections, executing simple queries, and scaffolding a sample project.
3. JSON Relational Duality and New Data Types (Lab)
- Incorporating the improved JSON data type and JSON collections into application code.
- Examining duality patterns: determining when to choose relational versus JSON approaches.
- Practical examples: storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Use Cases (Lab)
- An introduction to AI Vector Search, including vector data types and indexes.
- Constructing a small semantic search example: generating embeddings, storing data, and executing similarity queries.
- Integrating Vector Search with application code and libraries (with conceptual discussions on LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Understanding driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Exploring client-side patterns (such as reactive streams and Java virtual threads) and their impact on the server.
- Practical laboratory: implementing pipelined calls and measuring throughput improvements.
6. SQL, PL/SQL Enhancements, and Security Controls
- Reviewing new SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- An overview of SQL Firewall and its role in enhancing the runtime security of executed SQL.
- Hands-on activity: 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 that leverage 23ai features to test environments.
- Checklist: performance tuning, compatibility considerations, and pathways to production readiness.
Summary and Next Steps
Requirements
- A solid understanding of SQL and relational database concepts
- Experience in application development using Java or similar programming languages
- Basic familiarity with PL/SQL or server-side scripting principles
Target Audience
- Application developers working with Java, Quarkus, or similar frameworks
- 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
