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  2. Open Data Protocol - Wikipedia

    en.wikipedia.org/wiki/Open_Data_Protocol

    The OData protocol specifies various 'system query options' endpoints should accept, these can be used to filter, order, map or paginate data. Query options can be appended to a URL after a ? character and are separated by & characters; each option consists of a $ -sign prefixed name and its value, separated by a = sign, for example: OData ...

  3. GraphQL - Wikipedia

    en.wikipedia.org/wiki/GraphQL

    GraphQL is a data query and manipulation language for APIs that allows a client to specify what data it needs ("declarative data fetching"). A GraphQL server can fetch data from separate sources for a single client query and present the results in a unified graph. [2] It is not tied to any specific database or storage engine.

  4. Graph Query Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Query_Language

    Queries are therefore able to first project a sub-graph of the graph input into the query, and then extract the data values associated with that subgraph. Data values can also be processed by functions, including aggregation functions, leading to the projection of computed values which render the information held in the projected graph in ...

  5. Microsoft Access - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Access

    For query development, Access offers a "Query Designer", a graphical user interface that allows users to build queries without knowledge of structured query language. In the Query Designer, users can "show" the datasources of the query (which can be tables or queries) and select the fields they want returned by clicking and dragging them into ...

  6. Access query language - Wikipedia

    en.wikipedia.org/wiki/Access_query_language

    Access, the successor to ENGLISH, is an English-like query language used in the Pick operating system.. The original name ENGLISH is something of a misnomer, as PICK's flexible dictionary structure meant that file and attribute names could be given aliases in any natural language.

  7. Gremlin (query language) - Wikipedia

    en.wikipedia.org/wiki/Gremlin_(query_language)

    The following examples of Gremlin queries and responses in a Gremlin-Groovy environment are relative to a graph representation of the MovieLens dataset. [4] The dataset includes users who rate movies. Users each have one occupation, and each movie has one or more categories associated with it. The MovieLens graph schema is detailed below.

  8. Semantic query - Wikipedia

    en.wikipedia.org/wiki/Semantic_Query

    Semantic queries work on named graphs, linked data or triples. This enables the query to process the actual relationships between information and infer the answers from the network of data . This is in contrast to semantic search , which uses semantics (meaning of language constructs) in unstructured text to produce a better search result.

  9. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    It supports the MDX query language, the XML for Analysis and the olap4j interface specifications. Apache Doris is an open-source real-time analytical database based on MPP architecture. It can support both high-concurrency point query scenarios and high-throughput complex analysis. [31]