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  2. 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, ... Boolean: either of the values true or false;

  3. Comparison of data-serialization formats - Wikipedia

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

    ^ The primary format is binary, but text and JSON formats are available. [ 8 ] [ 9 ] ^ Means that generic tools/libraries know how to encode, decode, and dereference a reference to another piece of data in the same document.

  4. JSON streaming - Wikipedia

    en.wikipedia.org/wiki/JSON_streaming

    In addition, it is suggested that each JSON text sequence be followed by a line feed character to allow proper handling of top-level JSON objects that are not self delimiting (numbers, true, false, and null). This format is also known as JSON Text Sequences or MIME type application/json-seq, and is formally described in IETF RFC 7464.

  5. View and manage data associated with your account - AOL Help

    help.aol.com/articles/view-and-manage-data...

    You can open the file in a plain text editor to view the raw data or you can perform a web search for "JSON parser" to find a third-party app or website that will refine the code into a more friendly format.

  6. Semi-structured data - Wikipedia

    en.wikipedia.org/wiki/Semi-structured_data

    JSON or JavaScript Object Notation, is an open standard format that uses human-readable text to transmit data objects. JSON has been popularized by web services developed utilizing REST principles. Databases such as MongoDB and Couchbase store data natively in JSON format, leveraging the pros of semi-structured data architecture.

  7. BSON - Wikipedia

    en.wikipedia.org/wiki/BSON

    The name "BSON" is based on the term JSON and stands for "Binary JSON". [2] It is a binary form for representing simple or complex data structures including associative arrays (also known as name-value pairs ), integer indexed arrays , and a suite of fundamental scalar types .

  8. Jaql - Wikipedia

    en.wikipedia.org/wiki/Jaql

    Jaql (pronounced "jackal") is a functional data processing and query language most commonly used for JSON query processing on big data. It started as an open source project at Google [1] but the latest release was on 2010-07-12. IBM [2] took it over as primary data processing language for their Hadoop software package BigInsights.

  9. JData - Wikipedia

    en.wikipedia.org/wiki/JData

    One can use either the direct-format or annotated-format for storing higher dimensional arrays, as natively supported by both JSON/UBJSON, but the benefit of using the annotated format for text-based JData, and the packed-array optimized format for binary-JData becomes more advantageous due to faster processing speed.