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  2. Data Analysis Expressions - Wikipedia

    en.wikipedia.org/wiki/Data_Analysis_eXpressions

    Future versions of SSAS (both multidimensional & tabular models) will support DAX natively. 2016 marks a significant improvement with the rapid adoption of Microsoft Power BI and SQL Server 2016. Power BI is a subscription-based self-service analytic tool and Power BI Desktop is a desktop analytic and report authoring application.

  3. Power Pivot - Wikipedia

    en.wikipedia.org/wiki/Power_Pivot

    Power Pivot, formerly known as PowerPivot (without spacing), is a self-service business intelligence feature of Microsoft Excel which facilitates the creation of a tabular model to import, relate, and analyze data from a variety of sources.

  4. 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 ...

  5. Microsoft Dynamics 365 - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Dynamics_365

    Microsoft Dynamics 365 is an integrated suite of enterprise resource planning (ERP) and customer relationship management (CRM) applications offered by Microsoft. [1] Combines various functions such as sales, customer service, field service, operations, finance, marketing, and project service automation into a single platform.

  6. Pivot table - Wikipedia

    en.wikipedia.org/wiki/Pivot_table

    Programming languages and libraries suited to work with tabular data contain functions that allow the creation and manipulation of pivot tables. Python data analysis toolkit pandas has the function pivot_table [ 16 ] and the xs method useful to obtain sections of pivot tables.

  7. Data exploration - Wikipedia

    en.wikipedia.org/wiki/Data_exploration

    [1] [2] [3] Automated activities can include data profiling or data visualization or tabular reports to give the analyst an initial view into the data and an understanding of key characteristics. [1] This is often followed by manual drill-down or filtering of the data to identify anomalies or patterns identified through the automated actions.

  8. 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]

  9. JasperReports - Wikipedia

    en.wikipedia.org/wiki/JasperReports

    JasperReports reports are defined in an XML file format, called JRXML, [2] which can be hand-coded, generated, or designed using a tool. The file format is defined by a document type definition or XML schema for newer versions, providing limited interoperability.

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