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Data interchange files are a fundamental concept in computing, enabling the transfer and sharing of information between different software applications, systems, or even organizations. These files are structured in a way that allows diverse programs to interpret and process the same data, overcoming the limitations of proprietary file formats. Without standardized data interchange formats, sharing data would be a complex and often impossible task, requiring custom-built solutions for each specific pairing of software.

Common examples of data interchange files include CSV (Comma Separated Values), XML (Extensible Markup Language), and JSON (JavaScript Object Notation). CSV files are simple, human-readable plain text files where data is organized in rows and columns, with values separated by commas or other delimiters. XML offers a more structured approach, using tags to define data elements and their relationships, making it suitable for complex data hierarchies. JSON is a lightweight data-interchange format that is easy for humans to read and write and easy for machines to parse and generate, commonly used in web applications.

The choice of data interchange file format often depends on the nature of the data, the complexity of its structure, and the requirements of the systems involved. Factors such as readability, efficiency, extensibility, and the availability of parsing tools all play a role in selecting the most appropriate format for a given data interchange scenario. Effective data interchange is crucial for tasks ranging from database synchronization and data warehousing to web service communication and data analysis.