Course Outline
1. Introduction and What's New in Oracle Database 23ai
- Overview of the release, its market positioning, and the developer-focused roadmap.
- A comprehensive look at AI Vector Search, JSON/relational duality, and asynchronous drivers.
- An analysis of how 23ai transforms typical developer workflows and application patterns.
2. Practical Setup: Environment and Tools (Lab)
- Installation and utilization of Oracle Database 23ai Free for laboratory exercises.
- Configuration of JDK, IDEs, and client drivers (including JDBC and R2DBC where relevant).
- Establishing initial connections, executing simple queries, and scaffolding a sample project.
3. JSON Relational Duality and New Data Types (Lab)
- Utilizing the enhanced JSON data type and JSON collections within application code.
- Exploring duality patterns: determining when to adopt relational versus JSON approaches.
- Practical examples: storing, querying, and updating JSON objects from Java/Quarkus applications.
4. AI Vector Search and Developer Applications (Lab)
- An introduction to AI Vector Search, vector data types, and vector indexing.
- Constructing a concise semantic search example covering embedding generation, storage, and similarity queries.
- Integrating Vector Search with application code and libraries (with conceptual discussions on LangChain/LlamaIndex).
5. Asynchronous Programming, Pipelining, and Performance Patterns
- Comprehending driver-level pipelining and asynchronous request patterns for JDBC, R2DBC, and other drivers.
- Examining client-side patterns (such as reactive streams and Java virtual threads) and their impact on the server.
- Practical lab: Implementing pipelined calls and evaluating throughput enhancements.
6. SQL, PL/SQL Enhancements, and Security Controls
- New SQL/PLSQL language features pertinent 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 exercise: 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 assessing behavior with new features.
- Packaging and deploying developer applications that leverage 23ai features into test environments.
- Checklist: Performance tuning, compatibility considerations, and pathways to production readiness.
Summary and Next Steps
Requirements
- A solid grasp of SQL and relational database concepts.
- Practical experience in application development using Java or comparable languages.
- Basic familiarity with PL/SQL or server-side scripting principles.
Target Audience
- Application developers working with Java, Quarkus, or similar technologies.
- Database developers and PL/SQL engineers.
- DevOps engineers responsible for developer tooling and CI environments.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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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
