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Titlebook: Beginning Power BI with Excel 2013; Self-Service Busines Dan Clark Book 20141st edition Dan Clark 2014

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41#
發(fā)表于 2025-3-28 17:00:45 | 只看該作者
42#
發(fā)表于 2025-3-28 22:36:42 | 只看該作者
Importing Data into Power Pivotf sources into your model. The data sources can be from relational databases, text files, web services, and OLAP cubes, just to name a few. This chapter shows you how to incorporated data from a variety of these sources into a Power Pivot model.
43#
發(fā)表于 2025-3-29 02:39:42 | 只看該作者
44#
發(fā)表于 2025-3-29 05:43:27 | 只看該作者
Creating Interactive Dashboards with Power Viewn the various metrics. You will also look at how you can group the data using tiles and create filters for the groups and views as a whole. In addition, you will look at how you can include images to enhance the dashboard experience.
45#
發(fā)表于 2025-3-29 08:21:23 | 只看該作者
46#
發(fā)表于 2025-3-29 15:07:13 | 只看該作者
Introducing Power Pivot build on top of a Power Pivot tabular model. In the case of Power View this is obvious because you are explicitly connecting to the model. In the case of Power Query and Power Map it may not be as obvious because the Power Pivot tabular model is created for you behind the scenes. Regardless of how
47#
發(fā)表于 2025-3-29 19:14:58 | 只看該作者
Importing Data into Power Pivotto import the data into the data warehouse and then load it into the cube. It can take quite a while to get the data incorporated into the cube and available for your consumption. This is one of the greatest strengths of the Power Pivot model. You can easily and quickly combine data from a variety o
48#
發(fā)表于 2025-3-29 21:22:27 | 只看該作者
Creating the Data Modeling with data in Power Pivot. A good model will make Power Pivot perform amazingly fast and allow you to analyze the data in new and interesting ways. A bad model will cause Power Pivot to perform very slowly and at worst give misleading results when performing the data analysis. Traditional Excel p
49#
發(fā)表于 2025-3-30 02:31:04 | 只看該作者
50#
發(fā)表于 2025-3-30 05:06:47 | 只看該作者
Incorporating Time Intelligencesis in Power Pivot. It includes setting up a date table and using the various built-in functions for analyzing values to date, comparing values from different periods, and performing semi-additive aggregations.
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