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Data conversion

Data conversion is the process of changing data from one format, structure, or representation to another so it can be used by a different system, application, or workflow. For example, converting a CSV file to JSON, transforming dates from one timezone to another, or mapping fields from one database schema to another.

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  1. Meaning of “data conversion”

    Data conversion is the process of changing data from one format, structure, or representation to another so it can be used by a different system, application, or workflow. For example, converting a CSV file to JSON, transforming dates from one timezone to another, or mapping fields from one database schema to another.

  2. Common types

    Typical data conversion tasks include: - Format conversion: e.g., CSV ↔ JSON, XML ↔ YAML, text ↔ binary. - Type conversion: e.g., string → integer/decimal, Fahrenheit → Celsius. - Encoding conversion: e.g., UTF-8 ↔ ISO-8859-1. - Schema/structure conversion: e.g., renaming fields, changing nested objects, or normalizing tables. - Unit/time conversion: e.g., milliseconds → seconds, UTC → local time.

  3. Why it matters

    Accurate data conversion helps ensure compatibility, reduces errors, and supports reliable analytics and reporting. It often involves validation (checking that values remain correct), handling missing/invalid data, and preserving precision (especially for numbers and timestamps).

FAQ

What’s the difference between data conversion and data transformation?

Data conversion focuses on changing format/type/encoding, while data transformation usually includes broader logic changes (e.g., calculations, filtering, restructuring).

Can data conversion cause errors?

Yes. Common issues include rounding/precision loss, incorrect timezone handling, character encoding problems, and mismatched schemas.

How do you verify a conversion worked correctly?

Use checks like record counts, schema validation, sample comparisons, and automated tests for edge cases (nulls, extreme values, and special characters).

Client endpoint

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