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  2. 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 ...

  3. Comma-separated values - Wikipedia

    en.wikipedia.org/wiki/Comma-separated_values

    Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record. Each record consists of the same number of fields, and these are separated by commas in the ...

  4. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    JSON is promoted as a low-overhead alternative to XML as both of these formats have widespread support for creation, reading, and decoding in the real-world situations where they are commonly used. [39] Apart from XML, examples could include CSV and supersets of JSON.

  5. 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 ...

  6. Tab-separated values - Wikipedia

    en.wikipedia.org/wiki/Tab-separated_values

    The head of the Iris flower data set can be stored as a TSV using the following plain text (note that the HTML rendering may convert tabs to spaces): . Sepal length Sepal width Petal length Petal width Species 5.1 3.5 1.4 0.2 I. setosa 4.9 3.0 1.4 0.2 I. setosa 4.7 3.2 1.3 0.2 I. setosa 4.6 3.1 1.5 0.2 I. setosa 5.0 3.6 1.4 0.2 I. setosa

  7. 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 ...

  8. Yahoo Query Language - Wikipedia

    en.wikipedia.org/wiki/Yahoo_Query_Language

    Use of the YQL should not exceed reasonable request volume. [4] Access is limited as below: Per application limit (identified by your Access Key): 100,000 calls per day;

  9. Trino (SQL query engine) - Wikipedia

    en.wikipedia.org/wiki/Trino_(SQL_query_engine)

    Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. [1] Trino can query data lakes that contain a variety of file formats such as simple row-oriented CSV and JSON data files to more performant open column-oriented data file formats like ORC or Parquet [2] [3] residing on different storage systems like ...