Schița de curs

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

  • Release overview, positioning, and developer-centric roadmap.
  • High-level tour of AI Vector Search, JSON/relational duality, and async drivers.
  • How 23ai changes typical developer workflows and application patterns.

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

  • Installing and using Oracle Database 23ai Free for labs.
  • Setting up JDK, IDE, and client drivers (JDBC, R2DBC where applicable).
  • First connection, simple queries, and sample project scaffold.

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

  • Using the improved JSON data type and JSON collections in application code.
  • Duality patterns: when to use relational vs JSON approaches.
  • Examples: storing, querying, and updating JSON objects from Java/Quarkus apps.

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

  • Introduction to AI Vector Search, vector data types, and vector indexes.
  • Building a small semantic-search example: embedding generation, storage, and similarity queries.
  • Integrating Vector Search with application code and libraries (LangChain/LlamaIndex examples discussed conceptually).

5. Asynchronous Programming, Pipelining, and Performance Patterns

  • Understanding driver-level pipelining and async request patterns for JDBC, R2DBC, and other drivers.
  • Client-side patterns (reactive streams, Java virtual threads) and server impact.
  • Practical lab: implement pipelined calls and measure throughput improvements.

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

  • New SQL/PLSQL language features relevant to developers (e.g., schema annotations, direct joins in updates, new Boolean type).
  • Overview of SQL Firewall and how it improves runtime security of executed SQL.
  • Hands-on: migrate a small procedure to use new language features and test SQL Firewall behavior in a controlled lab.

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

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

Summary and Next Steps

Cerințe

  • 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

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

Numărul de participanți


Pret per participant

Mărturii (3)

Cursuri viitoare

Categorii înrudite