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World Congress 2025 β€’ Aug 20, 2025 β€’ Session details

Introducing JSON Structure - A Better Schema

Clemens Vasters

Tired of JSON Schema's conditional traps and overwhelming complexity? Discover JSON Structure, a newly proposed IETF standard designed strictly for type-safe pipelines and predictable code generation.

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#1 about 2 min

Standardizing messaging metadata for artificial intelligence and cloud

A dedicated team at Azure is improving metadata standards to enable artificial intelligence safely in messaging pipelines.

#2 about 2 min

Understanding the complexity and traps of JSON schema

The inherent complexities of conditional validation make JSON schema difficult to use as a pure type definition tool.

#3 about 2 min

Submitting JSON structure as an internet engineering draft

Refactoring JSON schema into six separate specifications creates a dedicated type definition language to solve API dependency issues.

#4 about 3 min

Distinguishing type definition constructs from data validation routines

New primitive types like integers and precise dates enforce proper JSON serialization beyond standard numeric limits.

#5 about 2 min

Adding maps and tuples for efficient telemetry streaming

Native compound types optimize repetitive time series data by removing redundant field names entirely from the wire.

#6 about 2 min

Establishing formal discriminated unions to simplify type selection

Native choice structures replace conditional workarounds by formally defining discrete data type intersections and component hierarchies.

#7 about 3 min

Enforcing internal definition references and explicit code namespaces

Restricting object boundaries prevents unmanageable code while aligning cleanly with object-oriented programming constructs like classes.

#8 about 2 min

Separating object imports securely from local definition references

Implementing explicit cross-file inclusions limits chaotic file graphs by demanding strict resolution against optionally imported modules.

#9 about 3 min

Replacing ambiguous compositions with explicit object extension properties

Abstract components and clear extension identifiers prevent arbitrary structure permutations from confusing language code generators.

#10 about 2 min

Incorporating internationalization conventions via alternative field naming arrays

Extensible naming parameters allow developers to map localized strings and custom document encodings directly within the schema.

#11 about 2 min

Embedding scientific units and currencies into schema models

Native standard notations for metrics ensure downstream interpreters and automated systems perceive measurement values accurately.

#12 about 2 min

Restoring complex condition validation through separate optional specifications

Isolating conditionals and numeric limits into optional addons preserves base definitions while enabling full legacy functionality.

#13 about 2 min

Exploring the draft schema documentation via AI tools

Open collaboration and automated specification indexers invite developer feedback for iterating on the internet standard draft.

Matching moments

2:11 min

Adopting JSON Structure as a strict data definition language

Clemens Vasters Clemens Vasters Β· WWC 2025

3:19 min

Refactoring JSON Schema into a formal data definition language

Clemens Vasters Clemens Vasters Β· WWC Europe 2026

5:05 min

Creating a standardized JSON schema for framework-agnostic discoverability

Luca Mezzalira Luca Mezzalira Β· WWC 2024

3:36 min

Structuring model payloads precisely with custom JSON schemas

3:18 min

Leveraging the JSON API standard for data structure

Alen Pokos Β· LIVE

1:01 min

Enforcing structured responses using native JSON schema configurations

Daniel Ostrovsky Daniel Ostrovsky Β· WWC Europe 2026

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