dataformatkonvertering
Dataformatkonvertering, also known as data format conversion, is the process of transforming data from one format or encoding to another to enable interoperability between disparate systems, applications, or data stores. The goal is to preserve meaning and structure as much as possible while adapting to the constraints of the target format.
The typical workflow includes extracting data, parsing the source format, mapping fields and data types to
Common formats include CSV, JSON, XML, and YAML for text-based formats; Parquet, Avro, and ORC for columnar
Approaches range from one-off scripts to full-scale ETL pipelines and data integration platforms. Modern pipelines may
Applications span data migration, system modernization, data warehousing, analytics, and data lake ingestion, where diverse source