Data Standards vs Custom Schemas
Developers should learn and use Data Standards when building systems that involve data exchange, integration, or storage, such as APIs, databases, or data pipelines, to ensure compatibility and reduce manual data cleaning efforts meets developers should learn custom schemas to ensure data integrity, improve system reliability, and facilitate interoperability between components. Here's our take.
Data Standards
Developers should learn and use Data Standards when building systems that involve data exchange, integration, or storage, such as APIs, databases, or data pipelines, to ensure compatibility and reduce manual data cleaning efforts
Data Standards
Nice PickDevelopers should learn and use Data Standards when building systems that involve data exchange, integration, or storage, such as APIs, databases, or data pipelines, to ensure compatibility and reduce manual data cleaning efforts
Pros
- +For example, in healthcare applications, adhering to standards like HL7 or FHIR ensures patient data can be shared securely between different systems, while in web development, using JSON or XML standards enables seamless communication between frontend and backend services
- +Related to: data-modeling, api-design
Cons
- -Specific tradeoffs depend on your use case
Custom Schemas
Developers should learn custom schemas to ensure data integrity, improve system reliability, and facilitate interoperability between components
Pros
- +They are essential when building applications with structured data requirements, such as in databases (e
- +Related to: json-schema, database-design
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Data Standards if: You want for example, in healthcare applications, adhering to standards like hl7 or fhir ensures patient data can be shared securely between different systems, while in web development, using json or xml standards enables seamless communication between frontend and backend services and can live with specific tradeoffs depend on your use case.
Use Custom Schemas if: You prioritize they are essential when building applications with structured data requirements, such as in databases (e over what Data Standards offers.
Developers should learn and use Data Standards when building systems that involve data exchange, integration, or storage, such as APIs, databases, or data pipelines, to ensure compatibility and reduce manual data cleaning efforts
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