Michael Alexander

Excel Power Pivot & Power Query For Dummies (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 288
• Erscheinungstermin: 25. Januar 2022
• Englisch
• ISBN-13: 9781119844501
• Artikelnr.: 63398112

Autorenporträt

Michael Alexander is a senior consultant at Slalom Consulting with more than 15 years' experience in data management and reporting. He is the author of more than a dozen books on business analysis using Microsoft Excel and has been named Microsoft Excel MVP for his contributions to the Excel community.

Inhaltsangabe

Introduction 1

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