Uploaded August 2026 | Updated September 2026, 2 weeks ago

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How do you understand, govern, and manage the JSON data generated by modern applications, AI agents, and tools?

In this session, learn how JSON Data Guide in Oracle AI Database helps developers profile JSON documents, generate JSON Schema, and create relational views from JSON definitions.

The session includes live demonstrations of how to:

- Understand the structure and content of JSON documents
- Profile JSON data generated by AI applications and agents
- Generate JSON Schema for more consistent and governed data
- Create virtual columns and relational views from JSON
- Query JSON documents using SQL
- Manage flexible JSON data without giving up relational access
- Apply JSON governance patterns to application and AI workloads

The goal is to help developers move from loosely structured JSON documents to data that can be understood, queried, governed, and used in production applications.

Try the examples with your own JSON data in Oracle AI Database:

Related blog with runnable examples:
blogs.oracle.com/autonomous-ai-database/json-dataguide-understand-govern-manage-json-data-and-json-schema

JSON and database technologies:
oracle.com/database/what-is-json/technologies/database

Chapters:
00:00 Introduction to JSON Data Guide and JSON Schema
02:46 JSON in AI applications and its impact on the data platform
12:53 JSON Data Guide concepts and capabilities
17:32 Understanding JSON document structure
20:20 Generating JSON Schema for governance
25:58 Creating virtual columns and relational views from JSON
29:23 Governing JSON data for AI and agent workloads
33:36 Q&A and wrap-up

#OracleAIDatabase #JSON #JSONSchema #SQL