Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
1. Introduction and What's New in Oracle Database 23ai
- Release overview, positioning, and a developer-centric roadmap.
- High-level exploration of AI Vector Search, JSON/relational duality, and async drivers.
- Understanding how 23ai transforms typical developer workflows and application patterns.
2. Getting Hands-on: Environment and Tools (Lab)
- Installing and setting up Oracle Database 23ai Free for lab exercises.
- Configuring JDK, IDE, and client drivers (JDBC, R2DBC where applicable).
- Establishing the first connection, executing simple queries, and scaffolding a sample project.
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 utilise relational versus JSON approaches.
- Examples demonstrating the storage, querying, and updating of JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Use Cases (Lab)
- Introduction to AI Vector Search, including vector data types and vector indexes.
- Constructing a small semantic-search example: covering embedding generation, storage, and similarity queries.
- Integrating Vector Search with application code and libraries (concepts related to LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Comprehending driver-level pipelining and async request patterns for JDBC, R2DBC, and other drivers.
- Examining 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
- Exploring new SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, new Boolean type).
- Overview of 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 assessing behaviour with new features.
- Packaging and deploying developer applications that leverage 23ai features to test environments.
- Checklist covering performance tuning, compatibility considerations, and next steps for 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
- Familiarity with fundamental PL/SQL or server-side scripting concepts
Target Audience
- Application developers (Java, Quarkus, or similar)
- Database developers and PL/SQL engineers
- DevOps engineers responsible for developer tooling and CI environments
14 Hours
Testimonials (1)
good explanation on each points and provide assignment for practices.
