Course Outline
1. Introduction and What's New in Oracle Database 23ai
- Release overview, market positioning, and a developer-centric roadmap.
- High-level exploration of AI Vector Search, JSON/relational duality, and async drivers.
- Analysis of how 23ai transforms typical developer workflows and application patterns.
2. Getting Hands-on: Environment and Tools (Lab)
- Installation and utilisation of Oracle Database 23ai Free for laboratory exercises.
- Configuration of JDK, IDE, and client drivers (JDBC, R2DBC where applicable).
- Establishing the first connection, executing simple queries, and scaffolding sample projects.
3. JSON Relational Duality and New Data Types (Lab)
- Leveraging the enhanced JSON data type and JSON collections within application code.
- Exploring duality patterns: determining when to apply 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)
- Introduction to AI Vector Search, vector data types, and vector indexing.
- Constructing a small-scale semantic search example: 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 Patterns
- Understanding driver-level pipelining and async request patterns for JDBC, R2DBC, and other drivers.
- Client-side patterns (reactive streams, Java virtual threads) and their impact on the server.
- Practical lab: implementing pipelined calls and measuring throughput improvements.
6. SQL, PL/SQL Enhancements, and Security Controls
- New 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 enhancing the runtime security of executed SQL.
- Hands-on activity: migrating a small procedure to utilise new language features and testing SQL Firewall behaviour in a controlled lab.
7. Testing, Debugging, and Deployment Best Practices (Lab)
- Unit testing database logic, generating representative test data, and evaluating behaviour with new features.
- Packaging and deploying developer applications that utilise 23ai features to test environments.
- Checklist: performance tuning, compatibility considerations, and subsequent steps for production readiness.
Summary and Next Steps
Requirements
- A solid understanding of SQL and relational database principles.
- Practical experience in application development using Java or similar programming languages.
- Familiarity with fundamental PL/SQL or server-side scripting concepts.
Audience
- Application developers (particularly those using Java, Quarkus, or comparable frameworks).
- Database developers and PL/SQL engineers.
- DevOps engineers responsible for 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
I found his methods very informative
