RDL Builder

A focused tool to design and validate data layouts for developers and data architects, providing structured inputs, rules, and outputs.

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About This Tool

Purpose-built for data modeling and schema governance, RDL Builder accepts entities, attributes, and relationship definitions to produce a verifiable data layout representation. It supports required vs optional fields, enumerations, defaults, and basic type mapping to reflect real-world constraints. Conceptually, the model is a network of entities connected by relationships, with validations that ensure referential integrity and consistent normalization hints. Advanced rules let users define derived fields and conditional constraints, while cross-entity checks catch inconsistencies before implementation. Outputs include JSON Schema-like definitions and an internal model graph suitable for downstream tooling or documentation. Use cases span API contract design, database schema planning, and data pipeline schema curation, enabling teams to align on structure early and reduce rework later. The tool emphasizes reproducibility, traceability, and collaboration across product, engineering, and data teams by exporting governance-ready artifacts and a readable model specification.

How to Use

  1. Provide inputs: define entities, attributes (name, type, required), and relationships.
  2. Configure constraints: defaults, enumerations, referential rules, and optional advanced rules.
  3. Run validation: generate model graph and exported schema.
  4. Review outputs: check referential integrity and normalization hints.
  5. Export artifacts: JSON Schema, model graph, and documentation-ready spec.
How to use rdl builder

Frequently Asked Questions

Find Quick Answers

What formats can I export?
Exports include JSON Schema-like definitions and a machine-readable model graph. YAML export is available if inputs are converted post-export.
Can it handle complex relationships?
Yes. The tool supports one-to-many, many-to-many, and recursive references, with cycle detection and consistency checks as part of validation.
Does it perform data population or ETL?
No. It models data structures and constraints only. It does not execute data transformations or load data into storage systems.
Is localization supported?
Model semantics rely on ISO data types and JSON Schema conventions. Annotations can be multi-language if provided, but semantics remain locale-agnostic.

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