Course Outline
1. Overview and New Features in Oracle Database 23ai
- General release summary, strategic positioning, and the developer-centric roadmap.
- A comprehensive look at AI Vector Search, JSON/relational duality, and asynchronous drivers.
- The impact of 23ai on standard developer workflows and application architecture patterns.
2. Practical Setup: Environment and Tools (Lab)
- Installation and configuration of Oracle Database 23ai Free for laboratory exercises.
- Configuring the JDK, IDE, and client drivers (including JDBC and R2DBC where relevant).
- Establishing initial connections, executing basic queries, and scaffolding a sample project.
3. JSON Relational Duality and Advanced Data Types (Lab)
- Implementing the upgraded JSON data type and JSON collections within application code.
- Duality strategies: determining when to adopt relational versus JSON approaches.
- Practical examples: persisting, retrieving, and modifying 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.
- Creating a semantic search prototype: generating embeddings, storing them, and executing similarity queries.
- Integrating Vector Search into application code and libraries (with conceptual discussions of LangChain/LlamaIndex implementations).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- Grasping driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other interfaces.
- Client-side design patterns (such as reactive streams and Java virtual threads) and their implications for server performance.
- Practical exercise: Implementing pipelined calls to quantify throughput enhancements.
6. SQL, PL/SQL Improvements, and Security Mechanisms
- Novel 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 strengthening the runtime security of executed SQL statements.
- Practical application: Refactoring a small procedure to utilize new language features and verifying SQL Firewall behavior in a controlled lab setting.
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.
- Readiness checklist: Performance tuning, compatibility checks, and subsequent steps for production deployment.
Conclusion and Future Directions
Requirements
- Proficiency in SQL and core relational database principles
- Background in application development using Java or comparable languages
- Knowledge of fundamental PL/SQL or server-side scripting concepts
Intended Audience
- Application developers (Java, Quarkus, or similar technologies)
- Database developers and PL/SQL engineers
- DevOps engineers managing developer tooling and CI environments
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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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
