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  2. Comparison of data-serialization formats - Wikipedia

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

    a. CSV b: null a (or an empty element in the row) a 1 a true a: 0 a false a: 685230-685230 a: 6.8523015e+5 a: A to Z "We said, ""no""." true,,-42.1e7,"A to Z" 42,1 A to Z,1,2,3: edn

  3. Marshalling (computer science) - Wikipedia

    en.wikipedia.org/wiki/Marshalling_(computer_science)

    The term deserialization is somewhat similar to un-marshalling a dry object "on the server side", i.e., demarshalling (or unmarshalling) to get a live object back: the serialized object is transformed into an internal data structure, i.e., a live object within the target runtime. It usually corresponds to the exact inverse process of ...

  4. FlatBuffers - Wikipedia

    en.wikipedia.org/wiki/FlatBuffers

    FlatBuffers can be used in software written in C++, C#, C, Go, Java, JavaScript, Kotlin, Lobster, Lua, PHP, Python, Rust, Swift, and TypeScript. The schema compiler runs on Android , Microsoft Windows , macOS , and Linux , [ 3 ] but games and other programs use FlatBuffers for serialization work on many other operating systems as well ...

  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. BSON - Wikipedia

    en.wikipedia.org/wiki/BSON

    Compared to JSON, BSON is designed to be efficient both in storage space and scan-speed. Large elements in a BSON document are prefixed with a length field to facilitate scanning. In some cases, BSON will use more space than JSON due to the length prefixes and explicit array indices. [2]

  7. SerDes - Wikipedia

    en.wikipedia.org/wiki/SerDes

    A Serializer/Deserializer (SerDes) is a pair of functional blocks commonly used in high speed communications to compensate for limited input/output.These blocks convert data between serial data and parallel interfaces in each direction.

  8. Apache Avro - Wikipedia

    en.wikipedia.org/wiki/Apache_Avro

    Avro is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.

  9. Protocol Buffers - Wikipedia

    en.wikipedia.org/wiki/Protocol_Buffers

    Protocol Buffers (Protobuf) is a free and open-source cross-platform data format used to serialize structured data. It is useful in developing programs that communicate with each other over a network or for storing data.