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  2. Microsoft Analysis Services - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Analysis_Services

    Analysis Services includes a group of OLAP and data mining capabilities and comes in two flavors multidimensional and tabular, where the difference between the two is how the data is presented. [citation needed] In a tabular model, the information is arranged in two-dimensional tables which can thus be more readable for a human. A ...

  3. Data Analysis Expressions - Wikipedia

    en.wikipedia.org/wiki/Data_Analysis_eXpressions

    Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.

  4. Dimensional modeling - Wikipedia

    en.wikipedia.org/wiki/Dimensional_modeling

    The grain of the model is the exact description of what the dimensional model should be focusing on. This could for instance be “An individual line item on a customer slip from a retail store”. To clarify what the grain means, you should pick the central process and describe it with one sentence.

  5. Multidimensional analysis - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_analysis

    In statistics, econometrics and related fields, multidimensional analysis (MDA) is a data analysis process that groups data into two categories: data dimensions and measurements. For example, a data set consisting of the number of wins for a single football team at each of several years is a single-dimensional (in this case, longitudinal) data set.

  6. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    Multidimensional structure is defined as "a variation of the relational model that uses multidimensional structures to organize data and express the relationships between data". [6]: 177 The structure is broken into cubes and the cubes are able to store and access data within the confines of each cube. "Each cell within a multidimensional ...

  7. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    In computing, the star schema or star model is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. [1] The star schema consists of one or more fact tables referencing any number of dimension tables .

  8. XML for Analysis - Wikipedia

    en.wikipedia.org/wiki/XML_for_Analysis

    XML for Analysis (XMLA) is an industry standard for data access in analytical systems, such as online analytical processing (OLAP) and data mining.XMLA is based on other industry standards such as XML, SOAP and HTTP.

  9. Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Snowflake_schema

    The snowflake schema is in the same family as the star schema logical model. In fact, the star schema is considered a special case of the snowflake schema. The snowflake schema provides some advantages over the star schema in certain situations, including: Some OLAP multidimensional database modeling tools are optimized for snowflake schemas. [3]