Course Outline

1. Introduction and What's New in Oracle Database 23ai for Government

  • Overview of the release, strategic positioning, and a developer-centric roadmap.
  • High-level exploration of AI Vector Search, JSON/relational duality, and asynchronous drivers.
  • Discussion on how Oracle Database 23ai transforms typical development workflows and application patterns for government.

2. Getting Hands-on: Environment and Tools (Lab)

  • Installation and usage of Oracle Database 23ai Free in a laboratory setting for government agencies.
  • Setting up the Java Development Kit (JDK), Integrated Development Environment (IDE), and client drivers such as JDBC and R2DBC where applicable.
  • Establishing the first connection, executing simple queries, and constructing a sample project scaffold.

3. JSON Relational Duality and New Data Types (Lab)

  • Leveraging enhanced JSON data types and collections in application code for government projects.
  • Dual approach strategies: determining when to use relational versus JSON methodologies.
  • Practical examples of storing, querying, and updating JSON objects from Java/Quarkus applications for government use.

4. AI Vector Search and Developer Use Cases (Lab)

  • Introduction to AI Vector Search, vector data types, and vector indexes for government applications.
  • Constructing a small semantic search example: embedding generation, storage, and similarity queries for government data.
  • Integrating Vector Search with application code and libraries (conceptual discussion of LangChain/LlamaIndex examples).

5. Asynchronous Programming, Pipelining, and Performance Patterns

  • Understanding driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers in government systems.
  • Client-side patterns (reactive streams, Java virtual threads) and their impact on server performance for government operations.
  • Practical lab: implementing pipelined calls and measuring throughput improvements for government applications.

6. SQL, PL/SQL Enhancements, and Security Controls

  • New SQL/PLSQL language features relevant to developers in government (e.g., schema annotations, direct joins in updates, new Boolean type).
  • Overview of the SQL Firewall and its role in enhancing runtime security for executed SQL in government environments.
  • Hands-on: migrating a small procedure to utilize new language features and testing SQL Firewall behavior in a controlled laboratory setting for government.

7. Testing, Debugging, and Deployment Best Practices (Lab)

  • Unit testing database logic, generating representative test data, and measuring behavior with new features for government applications.
  • Packaging and deploying developer apps that leverage 23ai features to test environments in government agencies.
  • Checklist: performance tuning, compatibility considerations, and next steps for production readiness for government systems.

Summary and Next Steps

Requirements

  • An understanding of SQL and relational database concepts
  • Experience with application development in Java or similar languages
  • Familiarity with basic PL/SQL or server-side scripting concepts

Audience for Government

  • Application developers (Java, Quarkus, or similar)
  • Database developers and PL/SQL engineers
  • DevOps engineers responsible for developer tooling and CI environments in the public sector
 14 Hours

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