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  2. 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 ...

  3. Comparison of data-serialization formats - Wikipedia

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

    ^ PHP will unserialize any floating-point number correctly, but will serialize them to their full decimal expansion. For example, 3.14 will be serialized to 3.140 000 000 000 000 124 344 978 758 017 532 527 446 746 826 171 875. ^ XML data bindings and SOAP serialization tools provide type-safe XML serialization of programming data structures ...

  4. 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 ...

  5. Data transfer object - Wikipedia

    en.wikipedia.org/wiki/Data_transfer_object

    The difference between data transfer objects and business objects or data access objects is that a DTO does not have any behavior except for storage, retrieval, serialization and deserialization of its own data (mutators, accessors, serializers and parsers). In other words, DTOs are simple objects that should not contain any business logic but ...

  6. Reflective programming - Wikipedia

    en.wikipedia.org/wiki/Reflective_programming

    Reflection helps programmers make generic software libraries to display data, process different formats of data, perform serialization and deserialization of data for communication, or do bundling and unbundling of data for containers or bursts of communication.

  7. FlatBuffers - Wikipedia

    en.wikipedia.org/wiki/FlatBuffers

    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 serialization formats however, the handling of FlatBuffers requires usually more code, and some operations are not possible (like some mutation operations).

  8. Apache Avro - Wikipedia

    en.wikipedia.org/wiki/Apache_Avro

    It uses JSON for defining data types and protocols, and serializes data in a compact binary format. Its primary use is in Apache Hadoop, where it can provide both a serialization format for persistent data, and a wire format for communication between Hadoop nodes, and from client programs to the Hadoop services. Avro uses a schema to structure ...

  9. Category:Data serialization formats - Wikipedia

    en.wikipedia.org/wiki/Category:Data...

    Pages in category "Data serialization formats" The following 61 pages are in this category, out of 61 total. This list may not reflect recent changes. *