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Duration 14 hours
Course Outline
1. Introduction and Innovations in Oracle Database 23ai
- Release summary, strategic positioning, and the developer-focused roadmap.
- A high-level exploration of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- Analyse how 23ai transforms standard developer workflows and application architectures.
2. Hands-On Setup: Environment and Tooling (Lab)
- Installation and configuration of Oracle Database 23ai Free for practical exercises.
- Configuration of 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 Enhanced Data Types (Lab)
- Utilising the improved JSON data type and JSON collections within application code.
- Duality patterns: determining when to adopt relational versus JSON-based approaches.
- Practical examples: persisting, retrieving, and modifying JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Foundations of AI Vector Search, including vector data types and vector indexing.
- Constructing a compact semantic-search application: covering embedding generation, persistence, and similarity queries.
- Integrating Vector Search with application logic and libraries (conceptual discussion of LangChain/LlamaIndex examples).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Comprehending driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Client-side implementations (reactive streams, Java virtual threads) and their impact on server performance.
- Practical exercise: implementing pipelined calls to evaluate and measure throughput enhancements.
6. SQL, PL/SQL Enhancements, and Security Controls
- Novel SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, new Boolean type).
- Overview of the SQL Firewall and its role in strengthening the runtime security of executed SQL.
- Hands-on task: refactor a small procedure to leverage new language features and validate SQL Firewall behaviour in a controlled lab environment.
7. Testing, Debugging, and Deployment Best Practices (Lab)
- Unit testing database logic, generating representative test data, and monitoring behaviour with new features.
- Packaging and deploying developer applications that utilise 23ai features into test environments.
- Checklist covering performance tuning, compatibility considerations, and pathways to production readiness.
Summary and Next Steps
Requirements
- A solid grasp of SQL and relational database concepts
- Experience in application development using Java or equivalent languages
- Knowledge of foundational PL/SQL or server-side scripting principles
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
