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Hapi for FHIR [4] JSON, XML, Turtle: No Ion: Amazon: 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 ...
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 ...
In order to efficiently store dictionary data, dictzip, an extension to the gzip compression format (also the name of the utility), can be used to compress a .dict file. Dictzip compresses file in chunks and stores the chunk index in the gzip file header, thus allowing random access to the data.
The binary file can store some information that cannot be captured in the XML or JSON file formats. The array, set and dictionary binary types are made up of pointers - the objref and keyref entries - that index into an object table in the file. This means that binary plists can capture the fact that - for example - a separate array and ...
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 ...
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 ...
Data wrangling typically follows a set of general steps which begin with extracting the data in a raw form from the data source, "munging" the raw data (e.g. sorting) or parsing the data into predefined data structures, and finally depositing the resulting content into a data sink for storage and future use. [1]
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 ...