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Duration 14 hours
Course Outline
1. Introduction and Overview of New Features in Oracle Database 23ai
- Overview of the release, its market positioning, and the developer-focused roadmap.
- A broad look at AI Vector Search, JSON/relational duality, and asynchronous drivers.
- How 23ai transforms standard developer workflows and application architectures.
2. Getting Started: Environment and Tools (Lab)
- Installation and usage of Oracle Database 23ai Free for laboratory exercises.
- Configuration of JDK, IDE, and client drivers (including JDBC and R2DBC where relevant).
- Establishing the first connection, executing basic queries, and scaffolding a sample project.
3. JSON Relational Duality and New Data Types (Lab)
- Utilizing the enhanced JSON data type and JSON collections within application code.
- Exploring duality patterns: determining when to favor relational versus JSON approaches.
- Practical examples: storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- An introduction to AI Vector Search, vector data types, and vector indexing.
- Constructing a semantic search example: covering 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 Strategies
- Comprehending driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Client-side patterns (such as reactive streams and Java virtual threads) and their impact on the server.
- Practical lab: implementing pipelined calls and measuring throughput enhancements.
6. SQL, PL/SQL Enhancements, and Security Measures
- Introducing new SQL/PLSQL language features pertinent to developers (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- Reviewing SQL Firewall and its role in strengthening the runtime security of executed SQL.
- Hands-on exercise: migrating a small procedure to utilize new language features and testing 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 evaluating behavior with new features.
- Packaging and deploying developer applications that leverage 23ai features to test environments.
- Final checklist: performance tuning, compatibility checks, and next steps toward production readiness.
Summary and Path Forward
Requirements
- A solid grasp of SQL and relational database principles
- Hands-on experience with application development in Java or comparable languages
- Familiarity with foundational PL/SQL or server-side scripting concepts
Target Audience
- Application developers working with Java, Quarkus, or similar frameworks
- Database developers and PL/SQL specialists
- DevOps engineers managing developer tooling and CI environments
Testimonials (1)
good explanation on each points and provide assignment for practices.
