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  2. JSONPath - Wikipedia

    en.wikipedia.org/wiki/JSONPath

    JSONiq [11] is a query and transformation language for JSON. XPath 3.1 [12] is an expression language that allows the processing of values conforming to the XDM [13] data model. The version 3.1 of XPath supports JSON as well as XML. jq is like sed for JSON data – it can be used to slice and filter and map and transform structured data.

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  4. Trino (SQL query engine) - Wikipedia

    en.wikipedia.org/wiki/Trino_(SQL_query_engine)

    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 ...

  5. List of tools for static code analysis - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_static...

    Static application security testing (Static Code Analysis) tool Online Semgrep: 2025-02-27 (1.110.0) Yes; LGPL v2.1 — — Java JavaScript, TypeScript — Python Go, JSON, PHP, Ruby, language-agnostic mode A static analysis tool that helps expressing code standards and surfacing bugs early. It also has experimental support for eleven other ...

  6. 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. A tool may require the IDL file, but no more. Excludes custom, non-standardized referencing techniques.

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    Paramount Plus is currently offering new users a 30-day free trial with a limited-time discount code. Here’s everything you need to know to for claiming the extended Paramount Plus free trial.

  9. Azure Data Explorer - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Explorer

    The development of the product began in 2014 as a grassroots incubation project in the Israeli R&D center of Microsoft, [12] with the internal code name 'Kusto' [9] [7] (named after Jacques Cousteau, as a reference to "exploring the ocean of data"). The project aim was to address Azure services' needs for fast and scalable log and telemetry ...