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Duration 14 hours
Course Outline
1. Introduction and New Features in Oracle Database 23ai
- Release overview, strategic positioning, and the developer-focused roadmap.
- A high-level walkthrough of AI Vector Search, JSON/relational duality, and async drivers.
- How 23ai transforms standard developer workflows and application patterns.
2. Hands-on Environment and Tools (Lab)
- Installation and configuration of Oracle Database 23ai Free for laboratory exercises.
- Setup 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 New Data Types (Lab)
- Integrating the advanced JSON data type and JSON collections into application code.
- Duality patterns: determining when to adopt 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)
- Overview of AI Vector Search, vector data types, and vector indexing.
- Developing a semantic search prototype: generating embeddings, storing data, and executing similarity queries.
- Connecting Vector Search with application code and libraries (conceptual discussion of LangChain/LlamaIndex examples).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Comprehending driver-level pipelining and async 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 resulting 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, and the new Boolean type).
- An overview of SQL Firewall and its role in strengthening the runtime security of executed SQL.
- Hands-on activity: migrating a small procedure to utilize new language features and testing SQL Firewall behavior in a controlled lab environment.
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 utilizing 23ai features to test environments.
- Checklist: performance tuning, compatibility considerations, and steps toward production readiness.
Summary and Next Steps
Requirements
- A solid grasp of SQL and relational database concepts
- Practical experience in application development using Java or similar languages
- Familiarity with fundamental PL/SQL or server-side scripting principles
Target Audience
- Application developers working with Java, Quarkus, or analogous technologies
- Database developers and PL/SQL engineers
- DevOps engineers overseeing developer tooling and CI environments
Testimonials (3)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
presentation skills, prompt answers to all questions
Oana - OPEN COURSE
Course - Oracle SQL LP - Fundamentals
it was structured very well both by days and by modules, easy to follow
