RadarCube Desktop for Windows Forms

a unique Desktop OLAP component written on C# 2.0
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RadarCube Desktop for Windows Forms Ranking & Summary

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  • Rating:
  • License:
  • Demo
  • Publisher Name:
  • Radar-Soft, L.L.C.
  • Publisher web site:
  • Operating Systems:
  • Windows Vista/2003/XP/2000/98/Me/NT/CE
  • File Size:
  • 28.74MB

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RadarCube Desktop for Windows Forms Description

RadarCube for Windows Forms is a unique Desktop OLAP component written on C# 2.0, which combines an unsurpassed power of the RadarCube OLAP core and comfort when programming in Net Framework. RadarCube supports the data warehouse structure by using several tables from the data source, which are connected to each other at that. RadarCube dimensions and measures structures allows you to most thoroughly reflect the data warehouse structure in the final OLAP-report. Unlike the products of the competitive firms, RadarCube supports such DWH structures as "star" and "Snowflake", several FACT tables, Parent-Child relations in the dimension tables. The power of the RadarCube core shows up not only in the unique performance and most compound OLAP structures support, but also in abilities of OLAP reports individual settings. This includes the automatic date transformation into the flat and multilevel hierarchies, ability to create the calculated dimensions and hierarchies members, calculated measures and calculated hierarchies. For example, you can create calculated members for the "Year" dimension which show the measure dynamics from year to year. To measure "Account", you can create calculated members to show the sub-totals by the sum of some expenses and incomes. The values of these calculated members will be changed according to the active OLAP-Slice. At that, you can show or hide member values for particular contexts. The RadarCube core has a detailed and well documented API which allows you to perform any OLAP-slice modifications from within your application, obtain information about any Cube or Grid cell no matter if the cell is actually displayed in the grid. You can create your own aggregation functions; define your own rules for calculating dimension members, define your own sorting and context filtering. We can surely say the RadarCube as the constructor you can use to create OLAP-reports of any complication.


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