Oracle Database 23ai: New Features for Developers Training Course
Oracle Database 23ai is the most recent long-term release, designed with a focus on enhancing developer productivity and incorporating built-in AI capabilities. Key features include AI Vector Search, enhancements in JSON/relational duality, async/pipelining drivers, improvements to SQL/PLSQL, and new operational features that support modern application development and AI-enabled workloads.
This instructor-led, live training (available online or on-site) is targeted at intermediate-level developers who want to learn the new 23ai features and apply them in practical development scenarios to achieve a Basic-Intermediate skill level.
By the end of this training, participants will be able to:
- Explain the key developer-focused features introduced in Oracle Database 23ai and understand when to utilize them.
- Utilize AI Vector Search and the enhanced JSON/relational capabilities in sample applications.
- Leverage async/pipelining driver features to improve client-server workflows and enhance throughput.
- Apply practical techniques for testing, debugging, and deploying 23ai-based application code in development environments.
Format of the Course
- Interactive lectures with targeted demonstrations.
- Hands-on labs using Oracle Database 23ai Free and developer tools.
- Guided exercises featuring sample Java/Quarkus and front-end examples.
Course Customization Options
- To request a customized version of this course (such as a focus on specific language stacks, deeper PL/SQL content, or additional labs), please contact us to arrange.
Course Outline
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
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
- Application developers (Java, Quarkus, or similar)
- Database developers and PL/SQL engineers
- DevOps engineers responsible for developer tooling and CI environments
Open Training Courses require 5+ participants.
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