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Duration 14 hours
Course Outline
1. Introduction and Innovations in Oracle Database 23ai
- Overview of the release, its market positioning, and the developer-centric roadmap.
- A high-level examination of AI Vector Search, JSON/relational duality, and async driver capabilities.
- Analyzing how 23ai transforms standard developer workflows and application architectures.
2. Practical Setup: Environment and Tools (Lab)
- Installation and configuration of Oracle Database 23ai Free for hands-on practice.
- Configuring the 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 Advanced Data Types (Lab)
- Integrating the improved JSON data type and JSON collections into application code.
- Exploring duality patterns to determine when to prefer relational versus JSON approaches.
- Practical examples of storing, querying, and updating JSON objects within Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- Foundations of AI Vector Search, including vector data types and vector indexing.
- Constructing a semantic search module: covering embedding generation, data storage, and similarity queries.
- Discussing the conceptual integration of Vector Search with application code and libraries (e.g., LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Optimization
- Analyzing driver-level pipelining and async request patterns across JDBC, R2DBC, and other drivers.
- Examining client-side patterns (such as reactive streams and Java virtual threads) and their server-side impact.
- Practical lab: implementing pipelined calls and measuring the resulting throughput enhancements.
6. SQL, PL/SQL Enhancements, and Security Mechanisms
- Reviewing new SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, and the new Boolean type).
- An overview of the SQL Firewall and its role in strengthening the runtime security of executed SQL.
- Hands-on exercise: migrating a sample procedure to utilize new language features and testing SQL Firewall behavior in a controlled lab.
7. Testing, Debugging, and Deployment Best Practices (Lab)
- Unit testing database logic, generating realistic test data, and assessing performance with new features.
- Packaging and deploying applications leveraging 23ai features to test environments.
- A comprehensive checklist covering performance tuning, compatibility checks, and steps toward production readiness.
Summary and Recommended Next Steps
Requirements
- Foundational knowledge of SQL and relational database principles.
- Practical experience in application development using Java or comparable programming languages.
- Basic familiarity with PL/SQL or server-side scripting concepts.
Target Audience
- Application developers working with Java, Quarkus, or similar frameworks.
- Database developers and PL/SQL engineers.
- DevOps engineers managing developer tooling and CI environments.
Testimonials (1)
good explanation on each points and provide assignment for practices.
