JSONtransformaatiot

JSONtransformaatiot refer to processes and techniques for converting and reshaping JSON data. The goal is to produce a new JSON document or another representation that meets the requirements of downstream systems, APIs, or analytics components. They encompass simple field renaming and value conversion as well as complex restructuring and data enrichment.

Typical operations include mapping fields, filtering records, projecting subsets, flattening nested structures, normalizing types, and joining or aggregating data across arrays. These patterns are used in data integration, API response shaping, data migration, and configuration management.

Tools and languages: declarative transformers such as JSONata, and command-line processors like JQ; programming libraries in JavaScript, Python, Java, and other ecosystems provide transformation APIs. Transformations can be executed in batch, in streaming fashion, or as part of ETL or ELT pipelines. Validation with JSON Schema and data lineage controls are common best practices.

Challenges include maintaining schemas during evolution, handling large or nested documents efficiently, preserving data provenance, and ensuring security and error handling in transformations.

See also JSON, JSON Schema, JQ, JSONata, ETL.