Michael Alexander is a Microsoft Certified Application Developer (MCAD) with over 14 years experience developing business solutions with Microsoft Office, VBA, and .Net. He currently lives in Frisco, Texas, where he works as a senior program manager for a top technology firm.
Meer over Michael AlexanderExcel Power Pivot & Power Query For Dummies
Paperback Engels 2022 2e druk 9781119844488Samenvatting
Learn to crunch huge amounts of data with PowerPivot and Power Query
Do you have a ton of data you need to make sense of? Microsoft’s Excel program can handle amazingly large data sets, but you’ll need to get familiar with PowerPivot and Power Query to get started.
And that’s where Dummies comes in. With step-by-step instructions—accompanied by ample screenshots—Excel PowerPivot & Power Query For Dummies will teach you how to save time, simplify your processes, and enhance your data analysis and reporting. Use Power Query to discover, connect to, and import your organization’s data. Then use PowerPivot to model it in Excel.
You’ll also learn to:
- Make use of databases to store large amounts of data
- Use custom functions to extend and enhance Power Query
- Add the functionality of formulas to PowerPivot and publish data to SharePoint
If you’re expected to wrangle, interpret, and report on large amounts of data, Excel PowerPivot & Power Query For Dummies gives you the tools you need to get up to speed quickly.
Specificaties
Lezersrecensies
Inhoudsopgave
Part 1: Supercharged Reporting with Power Pivot 5
CHAPTER 1: Thinking Like a Database 7
CHAPTER 2: Introducing Power Pivot 17
CHAPTER 3: The Pivotal Pivot Table 29
CHAPTER 4: Using External Data with Power Pivot 63
CHAPTER 5: Working Directly with the Internal Data Model 89
CHAPTER 6: Adding Formulas to Power Pivot 103
CHAPTER 7: Diving into DAX 121
Part 2: Wrangling Data with Power Query 141
CHAPTER 8: Introducing Power Query 143
CHAPTER 9: Power Query Connection Types 159
CHAPTER 10: Transforming Your Way to Better Data 175
CHAPTER 11: Making Queries Work Together 207
CHAPTER 12: Extending Power Query with Custom Functions 225
Part 3: The Part of Tens 243
CHAPTER 13: Ten Ways to Improve Power Pivot Performance 245
CHAPTER 14: Ten Tips for Working with Power Query 253
Index 263
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