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Infragistics xamPivotGrid

經 Infragistics - 產品類型: 構件 / Silverlight

Infragistics xamOutlookBar是作為 Infragistics NetAdvantage for .NET ‎和 Infragistics NetAdvantage Win Client

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‏請注意: 除非另有說明,此為英語產品

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Slice and dice multidimensional data. Infragistics xamPivotGrid is a Silverlight OLAP pivot grid control that lets you work with multidimensional data (MDX) from your cubes, data warehouses, or Microsoft SQL Server Analysis Services. Infragistics xamPivotGrid provides an experience to your users that goes beyond Microsoft Excel pivot tables, delivering the full power of online analytical processing (OLAP) in your Rich Internet Application. Users simply drag and drop filter fields, measure fields, and dimensions from the field selector and Infragistics xamPivotGrid presents the sliced and diced OLAP data in cross-tabulated form for your users to drill-down into.

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Infragistics xamPivotGrid Key Features at a Glance

  • An OLAP Pivot Table for Silverlight – xamPivotGrid delivers an engaging user experience that allows your users to do "crosstabs" and drilldown as they interact with data like in Microsoft Excel with full-featured online analytical processing (OLAP) support.
  • Infragistics xamPivotGrid Multidimensional Data – Unlock the potential of your data warehouses, your OLAP cubes and your multidimensional data stores.
  • Infragistics xamPivotGrid Drag and Drop – Users intuitively drag and drop fields from the field selector onto the xamPivotGrid and rearrange the fields within row and column groups to see their data sliced and diced however they wish.
  • Infragistics xamPivotGrid Filtering – Since the amount of data can quickly grow overwhelming, xamPivotGrid lets users filter the data so they see only the data pertinent to their analysis.
  • Infragistics xamPivotGrid Drilldown – Expandable row and column fields in xamPivotGrid allow your users to drilldown into the data to extract meaning from the numbers.
  • Infragistics xamPivotGrid Summaries – Row and column groups are totaled by xamPivotGrid in summary fields, so your users can make quick part-to-whole comparisons.

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