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World Congress 2026 Europe • Jul 10, 2026 • Session details

Introducing JSON Structure

Clemens Vasters

JSON Schema lacks the strict typing needed for robust code generation. JSON Structure transforms the familiar format into a strictly typed data definition language for modern polyglot applications.

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#1 about 4 min

Establishing metadata standards for real-time data pipelines

Formalizing data schema definitions is necessary to handle unstructured streams in modern telemetry platforms.

#2 about 3 min

Breaking the lock-in of specific data serialization formats

Defining data structures strictly for polyglot environments resolves the inadequacies of document-bound validation languages.

#3 about 4 min

Refactoring JSON Schema into a formal data definition language

Structuring exact names, compound types, and precise primitives enables rigorous code generation for applications.

#4 about 3 min

Overcoming lossy JSON serialization with extended primitive types

Extended primitive types preserve high-precision integers and decimals without relying on custom parsers.

#5 about 3 min

Optimizing data wire space with sets, maps, and tuples

Resolving schema structures through tuple-based array encodings securely minimizes string-heavy metadata payloads.

#6 about 4 min

Neutering the reference keyword to prevent schema resolution hazards

Forcing self-contained type references inside local definition modules guarantees isolated, predictable data validation.

#7 about 2 min

Implementing explicit file imports for external schema module resolution

Sourcing external definitions through direct import commands provides simple integrations that behave as localized resources.

#8 about 3 min

Structuring flexible type reuse without enforced object-oriented polymorphism

Flattening inherited types via abstract bases and field copying accommodates varied programming language implementations.

#9 about 3 min

Adding semantic richness with aliases, currencies, and technical units

Declaring concrete technical and business units natively within the schema drastically improves interpretation by AI code tools.

#10 about 2 min

Standardizing open data definitions via accessible IETF internet drafts

Adopting a plain-text structure specification promotes open-source consumption without licensing burdens.

#11 about 5 min

Generating polyglot application code and native database schemas

Automating the construction of diverse application classes and native database representations standardizes disjointed development environments.

Matching moments

2:11 min

Adopting JSON Structure as a strict data definition language

Clemens Vasters Clemens Vasters · World Congress 2025

1:53 min

Submitting JSON structure as an internet engineering draft

Clemens Vasters Clemens Vasters · World Congress 2025

5:05 min

Creating a standardized JSON schema for framework-agnostic discoverability

Luca Mezzalira Luca Mezzalira · World Congress 2024

2:01 min

Standardizing data exchanges using input and output schemas

Xavier Sala Presas Xavier Sala Presas · Europe 2026 Virtual

3:18 min

Leveraging the JSON API standard for data structure

Alen Pokos · LIVE

2:33 min

Adopting JSON relational duality functions for maximum schema flexibility

Wei Hu Wei Hu · World Congress 2023

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