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Duration 14 hours
Course Outline
1. Introduction and What's New in Oracle Database 23ai
- Overview of the release, its market positioning, and the developer-centric roadmap.
- A high-level exploration of AI Vector Search, JSON/relational duality, and asynchronous drivers.
- An analysis of how 23ai transforms standard developer workflows and application patterns.
2. Practical Setup: Environment and Tools (Lab)
- Installation and usage of Oracle Database 23ai Free for laboratory sessions.
- Configuration of JDK, IDEs, and client drivers (such as JDBC and R2DBC where applicable).
- Establishing initial connections, executing simple queries, and scaffolding a sample project.
3. JSON Relational Duality and New Data Types (Lab)
- Incorporating the improved JSON data type and JSON collections into application code.
- Understanding duality patterns: determining when to utilize 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)
- An introduction to AI Vector Search, vector data types, and vector indexes.
- Constructing a semantic search example: covering embedding generation, storage, and similarity queries.
- Integrating Vector Search with application code and libraries (with conceptual discussion of LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Comprehending driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Exploring client-side patterns (such as reactive streams and Java virtual threads) and their impact on the server.
- Practical lab: Implementing pipelined calls and measuring improvements in throughput.
6. SQL, PL/SQL Enhancements, and Security Controls
- Exploring new SQL/PL/SQL 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 enhancing 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 measuring performance with new features.
- Packaging and deploying developer applications that utilize 23ai features to test environments.
- Reviewing checklists: performance tuning, compatibility considerations, and next steps for 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 programming languages
- Basic familiarity with PL/SQL or other server-side scripting concepts
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 (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
