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VIBlend OLAP Pivot Table for Silverlight授權(quán)購買

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VIBlend OLAP Pivot Table for Silverlight (產(chǎn)品編號(hào)：12967)

只需很少或者完全無需編碼即可創(chuàng)建一流的Web商業(yè)智能應(yīng)用程序

標(biāo)簽：OLAP Silverlight Tab

開發(fā)商： VIBlend Technologies

當(dāng)前版本：

產(chǎn)品類型：控件

產(chǎn)品功能：UI界面

平臺(tái)語言：.NET

開源水平：不提供源碼

本產(chǎn)品的分類與介紹僅供參考，具體以商家網(wǎng)站介紹為準(zhǔn)，如有疑問請(qǐng)來電 023-68661681 咨詢。

VIBlend DataGrid for Silverlight是第一種Silverlight數(shù)據(jù)透視表控件，只需很少或者完全無需編碼即可創(chuàng)建一流的Web商業(yè)智能應(yīng)用程序，其可以幫助用戶將大批量數(shù)據(jù)集形象化，在同一個(gè)組件中對(duì)之進(jìn)行不同方式的透視。它是一種可用于現(xiàn)代RIA的一體化數(shù)據(jù)網(wǎng)格和透視網(wǎng)格控件，基于強(qiáng)大的Silverlight 4技術(shù)創(chuàng)建。

* 關(guān)于本產(chǎn)品的分類與介紹僅供參考，精準(zhǔn)產(chǎn)品資料以官網(wǎng)介紹為準(zhǔn)，如需購買請(qǐng)先行測(cè)試。

VIBlend DataGrid for Silverlight可用于：

	創(chuàng)建OLAP視圖和報(bào)表，為您的用戶提供與數(shù)據(jù)交互的能力
	以最簡(jiǎn)單的方式對(duì)數(shù)據(jù)記錄進(jìn)行集合和分組
	幫助進(jìn)行數(shù)據(jù)挖掘和深入分析

為何選擇VIBlend DataGrid for Silverlight：

	極大的節(jié)省寶貴的開發(fā)時(shí)間
	在項(xiàng)目中使用該架構(gòu)良好，可復(fù)用，企業(yè)級(jí)質(zhì)量的數(shù)據(jù)網(wǎng)格控件能助益良多
	可幫助輕松創(chuàng)建您自己的數(shù)據(jù)分析和報(bào)表工具
	全新的版本可使得您的應(yīng)用程序性能更佳，功能更強(qiáng)大

Silverlight OLAP數(shù)據(jù)網(wǎng)格-透視表格報(bào)表

VIBlend DataGrid for Silverlight帶有一個(gè)內(nèi)置的數(shù)據(jù)聚合引擎，能將任意數(shù)據(jù)列表源轉(zhuǎn)換為大量的跨標(biāo)簽視圖。在典型的數(shù)據(jù)網(wǎng)格中，數(shù)據(jù)往往是單一的，由多行多列組成。數(shù)據(jù)可能包含多個(gè)帶相同值的單元格，在許多此類情況下時(shí)，使用原始數(shù)據(jù)就不是創(chuàng)建模型和分析趨勢(shì)的最佳方式了。其行分組功能可以幫助用戶通過使用那些相應(yīng)網(wǎng)格里含有相同值的列對(duì)多個(gè)行進(jìn)行分類。透視表格則更進(jìn)一步，可以進(jìn)行功能強(qiáng)大的多維數(shù)據(jù)分析。通常而言，一個(gè)透視表格往往由行，列以及數(shù)據(jù)域（值/事實(shí)）組成。

交互式透視表格設(shè)計(jì)器

通過使用交互式透視表格設(shè)計(jì)器控件，用戶只需簡(jiǎn)單的拖曳即可創(chuàng)建透視表格，通過為數(shù)據(jù)網(wǎng)格加載記錄集合，用戶可以對(duì)任意域進(jìn)行透視。該設(shè)計(jì)器允許用戶指定行和劣種的透視域和過濾器，且支持一般的透視聚合功能。該設(shè)計(jì)器還內(nèi)置了定位功能，可幫助用戶對(duì)其選擇的語言進(jìn)行自定義。

Silverlight Pivot Table Design Control - Interactive OLAP

Silverlight透視表格--數(shù)據(jù)挖掘和深入分析

用戶可以通過很多不同方式對(duì)數(shù)據(jù)進(jìn)行分類，篩選，分組以及透視，以完成大批量數(shù)據(jù)集的分析。OLAP數(shù)據(jù)挖掘和深入分析是直接內(nèi)置在數(shù)據(jù)網(wǎng)格中的功能。

Silverlight Pivot Table Control - Drill Down & Drill Through Analysis

Things you can do:

	Build OLAP views and reports and give your users the ability to interact with the data.
	Aggregate and group data records in the easiest way.
	Enable data drill down and drill through analysis.

Why choose:

	Save many hours of valuable development time.
	Work with a well built, reusable, enterprise quality data grid control that will help you in many projects.
	Easily build your own data analysis and reporting tools.
	New versions make your applications better and more powerful.

Silverlight OLAP Grid - Pivot Table Report

VIBlend DataGrid for Silverlight features a built-in data aggregation engine which is capable of turning any tabular data source into a wide variety of cross tab views. In a typical data grid, the data is flat and consists of many rows and columns. The data may contain multiple cells with the exact same values. In many of these scenarios working with the raw data may not be the best way to spot patterns and analysize trends. The rows grouping feature allows you to group multiple rows by columns where the corresponding grid cells have the same value. Pivot tables go one step further and enable powerful multidimensional data analysis. A Pivot table usually consits of row, column and data (value/fact) fields.

Interactive Pivot Table Designer

The interactive pivot table design control allows you to build pivot tables with simple drag and drop. Just load the data grid with a set of records and let your users pivot by any field. The pivot designer allows you to specify rows and columns pivot fields, filters, and support the most common pivot aggregation functions. The pivot design control comes with built-in localization capabilities that allow you to customize it to a language of your choice.

Silverlight Pivot Table - Drill Down & Drill Through Analysis

You can analyze large data sets by sorting, filtering, grouping and pivoting the data in many different way. OLAP drill down and and drill through analysis capabilities are build-in directly in the data grid.

更新時(shí)間:2014-02-19 14:26:07.000 | 錄入時(shí)間:2011-12-21 10:35:37.000 | 責(zé)任編輯:

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