If you've ever tried to create a PivotTable from a file containing hundreds of thousands of rows of data, you might have noticed some performance issues. PowerPivot, a new technology introduced alongside Excel 2010, uses advanced data handling techniques to let you manipulate large data sets more efficiently. In this movie, I will give you an overview of how to analyze data in PowerPivot and then later in this chapter we will dive into specifics of bringing data into PowerPivot. So this is what a PowerPivot datasheet looks like. I have several different columns of data. As you can see at the bottom left-hand corner this PowerPivot data set contains over 964,000 rows.
Now normally in Excel that would take a lot of time to work with, but let's say that I want to filter it so that I only show orders of Quantity 14. So I can click the filter arrow and create my filter. Click OK and Excel filters the rows and you can see we're down to just under 50,000. Creating another filter, say for store number one, limits the data even further. Now we are down under 500. And then I will just clear the filters.
As you can see, working with large data sets within PowerPivot happens much more quickly than it would if you were just using a regular PivotTable and an Excel worksheet. So now let's create a PivotTable off of this data, and I'll just create it here in my workbook, and then just as filtering that data happens much more quickly in PowerPivot than it would in Excel, I can create a PivotTable even with this massive data set much more quickly within PowerPivot. So I'll just put my StoreID in Row Labels, the Year in the Column Labels, and Total order in the Values area, and there is my data.
Again, over 960,000 rows summarized just that quickly. The technology behind PowerPivot lets you manage large datasets much more efficiently than is possible using conventional PivotTables. In the next couple of movies I'll show you how to install PowerPivot, bring your data in, and then work with it.
Author
Released
4/19/2011- Formatting data for use in a PivotTable
- Connecting to an external data source
- Refreshing a data source
- Adding, removing, and positioning subtotals and grand totals
- Creating a calculated field
- Grouping PivotTable fields
- Clearing and reapplying PivotTable filters
- Applying field styles
- Formatting cells
- Creating a PivotChart
- Printing PivotTables and PivotCharts
- Creating relationships between tables in a PowerPivot model
- Using the DAX language for advanced summaries in PowerPivot
Skill Level Intermediate
Duration
Views
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Introduction
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Welcome52s
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1. Creating and Pivoting PivotTables
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Introducing PivotTables4m 2s
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Creating a PivotTable4m 20s
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Pivoting a PivotTable3m 47s
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Configuring a PivotTable3m 22s
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Managing PivotTables3m 26s
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2. Summarizing PivotTable Data
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Creating a calculated field2m 27s
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Grouping PivotTable fields3m 17s
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3. Sorting and Filtering PivotTable Data
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Creating a custom sort order2m 48s
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Formatting slicers3m 43s
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4. Formatting PivotTables
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Creating a PivotTable style4m 37s
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5. Applying Conditional Formatting to PivotTables
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6. Creating and Manipulating PivotCharts
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Creating a PivotChart3m 29s
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Pivoting a PivotChart3m 5s
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Filtering a PivotChart3m 45s
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Formatting a PivotChart3m 35s
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Changing a PivotChart layout3m 14s
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7. Printing PivotTables and PivotCharts
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Printing a PivotTable4m 2s
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Printing a PivotChart1m 55s
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8. Manipulating PivotTables Using Macros
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Running a macro5m 57s
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9. Getting Started with PowerPivot
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Introducing PowerPivot2m 8s
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Importing PowerPivot data3m 14s
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Managing table columns4m 1s
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10. Working with DAX Expressions
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Introducing the DAX language2m 58s
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Using DAX operators4m 44s
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Surveying DAX functions2m 40s
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Using aggregate functions4m 24s
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Conclusion
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Video: Introducing PowerPivot