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  2. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    OLAP is typically contrasted to OLTP (online transaction processing), which is generally characterized by much less complex queries, in a larger volume, to process transactions rather than for the purpose of business intelligence or reporting. Whereas OLAP systems are mostly optimized for read, OLTP has to process all kinds of queries (read ...

  3. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    TM1 Web/TM1 Contributor, IBM Cognos Insight, IBM Performance Modeler, IBM Cognos Cafe for Excel, Cognos BI, TM1 Perspectives for Excel Yes Yes icCube Yes Yes Yes Java, [23] R [24] Yes In the reporting Yes icCube reporting and all XMLA compliant visualization tools like Excel, etc Yes Yes Jedox OLAP Server: Yes Yes Yes Cube Rules, SVS Triggers ...

  4. 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.

  5. Essbase - Wikipedia

    en.wikipedia.org/wiki/Essbase

    Also note that of the above competitors, including Essbase, all use heterogenous relational (Microsoft SQL Server, Oracle, IBM DB/2, TeraData, Access, etc.) or non-relational data sourcing (Excel, text Files, CSV Files, etc.) to feed the cubes (facts and dimensional data), except for Oracle OLAP which may only use Oracle relational sourcing.

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  7. Data warehouse - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse

    Online analytical processing (OLAP) is characterized by a low rate of transactions and complex queries that involve aggregations. Response time is an effective performance measure of OLAP systems. OLAP applications are widely used for data mining. OLAP databases store aggregated, historical data in multi-dimensional schemas (usually star ...

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