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  2. OLAP cube - Wikipedia

    en.wikipedia.org/wiki/OLAP_cube

    An OLAP cube is a multi-dimensional array of data. [1] Online analytical processing (OLAP) [ 2 ] is a computer-based technique of analyzing data to look for insights. The term cube here refers to a multi-dimensional dataset, which is also sometimes called a hypercube if the number of dimensions is greater than three.

  3. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    Apache Kylin is a distributed data store for OLAP queries originally developed by eBay. Cubes (OLAP server) is another lightweight open-source toolkit implementation of OLAP functionality in the Python programming language with built-in ROLAP. ClickHouse is a fairly new column-oriented DBMS focusing on fast processing and response times.

  4. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    Data processing, management and performance related features: OLAP server Real Time Write-back ... OLAP server # cubes # measures # dimensions # dimensions in cube

  5. Cubes (OLAP server) - Wikipedia

    en.wikipedia.org/wiki/Cubes_(OLAP_server)

    Cubes provides to an analyst or any application end-user "understandable and natural way of reporting using concept of data Cubes – multidimensional data objects". Cubes was first publicly released in March 2011. The project was originally developed for Public Procurements of Slovakia. [3] Cubes 1.0 was released in September 2014 and ...

  6. Datawatch Corporation - Wikipedia

    en.wikipedia.org/wiki/Datawatch_Corporation

    Datawatch's technology relies on in-memory OLAP (Online Analytical Processing) cubes, which are displayed through a series of visualizations including treemaps.This allows the user to load data, select variables and hierarchical structures, and navigate through the resultant visualization, filtering, zooming and drilling (sometimes called slicing and dicing), to identify outliers, correlations ...

  7. Holos (software) - Wikipedia

    en.wikipedia.org/wiki/Holos_(software)

    Holos Server provided an array of different, but compatible, storage mechanisms for its multi-cube architecture: memory, disk, SQL. It was therefore the first product to provide "hybrid OLAP" . The Holos Client was both a design and delivery vehicle, and this made it quite large.

  8. Microsoft Analysis Services - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Analysis_Services

    OLAP Services supported MOLAP, ROLAP, and HOLAP architectures, and it used OLE DB for OLAP as the client access API and MDX as a query language. It could work in client-server mode or offline mode with local cube files. [3] In 2000, Microsoft released Analysis Services 2000. It was renamed from "OLAP Services" due to the inclusion of data ...

  9. Oracle OLAP - Wikipedia

    en.wikipedia.org/wiki/Oracle_OLAP

    As of Oracle Database 11g, the Oracle database optimizer can transparently redirect SQL queries to levels within the OLAP Option cubes. The cubes are managed and can take the place of multi-dimensional materialized views, simplifying Oracle data-warehouse management and speeding up query response.