When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. FlatBuffers - Wikipedia

    en.wikipedia.org/wiki/FlatBuffers

    It supports “zero-copy” deserialization, so that accessing the serialized data does not require first copying it into a separate part of memory. This makes accessing data in these formats much faster than data in formats requiring more extensive processing, such as JSON, CSV, and in many cases Protocol Buffers. Compared to other ...

  3. Wikipedia:Database download - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Database_download

    Dictionary Builder is a Rust program that can parse XML dumps and extract entries in files; Scripts for parsing Wikipedia dumps ­– Python based scripts for parsing sql.gz files from wikipedia dumps. parse-mediawiki-sql – a Rust library for quickly parsing the SQL dump files with minimal memory allocation

  4. CBOR - Wikipedia

    en.wikipedia.org/wiki/CBOR

    Concise Binary Object Representation (CBOR) is a binary data serialization format loosely based on JSON authored by Carsten Bormann and Paul Hoffman. [a] Like JSON it allows the transmission of data objects that contain name–value pairs, but in a more concise manner.

  5. Comparison of data-serialization formats - Wikipedia

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

    JSON: No The Amazon Ion Specification: Yes Yes No Ion schema: C, C#, Go, Java, JavaScript, Python, Rust — Java serialization Oracle Corporation — Yes Java Object Serialization: Yes No Yes No Yes — JSON: Douglas Crockford: JavaScript syntax: Yes STD 90/RFC 8259 (ancillary: RFC 6901, RFC 6902), ECMA-404, ISO/IEC 21778:2017: No, but see BSON ...

  6. Machine-readable medium and data - Wikipedia

    en.wikipedia.org/wiki/Machine-readable_medium...

    Machine-readable data may be classified into two groups: human-readable data that is marked up so that it can also be read by machines (e.g. microformats, RDFa, HTML), and data file formats intended principally for processing by machines (CSV, RDF, XML, JSON). These formats are only machine readable if the data contained within them is formally ...

  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. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    Apart from XML, examples could include CSV and supersets of JSON. Google Protocol Buffers can fill this role, although it is not a data interchange language. CBOR has a superset of the JSON data types, but it is not text-based. Ion is also a superset of JSON, with a wider range of primary types, annotations, comments, and allowing trailing ...

  9. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    A common use case for ETL tools include converting CSV files to formats readable by relational databases. A typical translation of millions of records is facilitated by ETL tools that enable users to input csv-like data feeds/files and import them into a database with as little code as possible.