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  2. Data Interchange Format - Wikipedia

    en.wikipedia.org/wiki/Data_Interchange_Format

    Data Interchange Format (.dif) is a text file format used to import/export single spreadsheets between spreadsheet programs.. Applications that still support the DIF format are Collabora Online, Excel, [note 1] Gnumeric, and LibreOffice Calc.

  3. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    JSON Schema specifies a JSON-based format to define the structure of JSON data for validation, documentation, and interaction control. It provides a contract for the JSON data required by a given application and how that data can be modified. [ 29 ]

  4. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    JSON: No Smile Format Specification: Yes No Yes Partial (JSON Schema Proposal, other JSON schemas/IDLs) Partial (via JSON APIs implemented with Smile backend, on Jackson, Python) — SOAP: W3C: XML: Yes W3C Recommendations: SOAP/1.1 SOAP/1.2: Partial (Efficient XML Interchange, Binary XML, Fast Infoset, MTOM, XSD base64 data) Yes Built-in id ...

  5. Requirements Interchange Format - Wikipedia

    en.wikipedia.org/wiki/Requirements_Interchange...

    This is the primary application of ReqIF, as development across organizations is happening more and more often. ReqIF allows for sharing of requirements between partners, even if different tools are used. In contrast to formats like Word, Excel or PDF, ReqIF allows for a loss-free exchange.

  6. JSON streaming - Wikipedia

    en.wikipedia.org/wiki/JSON_streaming

    JSON streaming comprises communications protocols to delimit JSON objects built upon lower-level stream-oriented protocols (such as TCP), that ensures individual JSON objects are recognized, when the server and clients use the same one (e.g. implicitly coded in). This is necessary as JSON is a non-concatenative protocol (the concatenation of ...

  7. Serialization - Wikipedia

    en.wikipedia.org/wiki/Serialization

    Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...

  8. OpenRefine - Wikipedia

    en.wikipedia.org/wiki/OpenRefine

    Transformation of data: converting values to other formats, normalizing and denormalizing. Parsing data from web sites: OpenRefine has a URL fetch feature and jsoup HTML parser and DOM engine. [9] Adding data to dataset by fetching it from web services (i.e. returning JSON). [10] For example, can be used for geocoding addresses to geographic ...

  9. Data exchange - Wikipedia

    en.wikipedia.org/wiki/Data_exchange

    In some domains, a few dozen different source and target schema (proprietary data formats) may exist. An "exchange" or "interchange format" is often developed for a single domain, and then necessary routines (mappings) are written to (indirectly) transform/translate each and every source schema to each and every target schema by using the interchange format as an intermediate step.

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