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Michael Alexander - Excel Power Pivot & Power Query For Dummies (For Dummies (Computer/Tech))

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Michael Alexander Excel Power Pivot & Power Query For Dummies (For Dummies (Computer/Tech))
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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? Microsofts Excel program can handle amazingly large data sets, but youll need to get familiar with PowerPivot and Power Query to get started.

And thats where Dummies comes in. With step-by-step instructionsaccompanied by ample screenshotsExcel 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 organizations data. Then use PowerPivot to model it in Excel. Youll 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 youre 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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Microsoft Excel Power Pivot Power Query For Dummies 2nd Edition Published - photo 1

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Microsoft Excel Power Pivot & Power Query For Dummies, 2nd Edition

Published by: John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030-5774, www.wiley.com

Copyright 2022 by John Wiley & Sons, Inc., Hoboken, New Jersey

Published simultaneously in Canada

No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions .

Trademarks: Wiley, For Dummies, the Dummies Man logo, Dummies.com, Making Everything Easier, and related trade dress are trademarks or registered trademarks of John Wiley & Sons, Inc., and may not be used without written permission. Microsoft and Excel are registered trademarks of Microsoft Corporation in the United States and other countries. All other trademarks are the property of their respective owners. John Wiley & Sons, Inc., is not associated with any product or vendor mentioned in this book.

LIMIT OF LIABILITY/DISCLAIMER OF WARRANTY: WHILE THE PUBLISHER AND AUTHORS HAVE USED THEIR BEST EFFORTS IN PREPARING THIS WORK, THEY MAKE NO REPRESENTATIONS OR WARRANTIES WITH RESPECT TO THE ACCURACY OR COMPLETENESS OF THE CONTENTS OF THIS WORK AND SPECIFICALLY DISCLAIM ALL WARRANTIES, INCLUDING WITHOUT LIMITATION ANY IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. NO WARRANTY MAY BE CREATED OR EXTENDED BY SALES REPRESENTATIVES, WRITTEN SALES MATERIALS OR PROMOTIONAL STATEMENTS FOR THIS WORK. THE FACT THAT AN ORGANIZATION, WEBSITE, OR PRODUCT IS REFERRED TO IN THIS WORK AS A CITATION AND/OR POTENTIAL SOURCE OF FURTHER INFORMATION DOES NOT MEAN THAT THE PUBLISHER AND AUTHORS ENDORSE THE INFORMATION OR SERVICES THE ORGANIZATION, WEBSITE, OR PRODUCT MAY PROVIDE OR RECOMMENDATIONS IT MAY MAKE. THIS WORK IS SOLD WITH THE UNDERSTANDING THAT THE PUBLISHER IS NOT ENGAGED IN RENDERING PROFESSIONAL SERVICES. THE ADVICE AND STRATEGIES CONTAINED HEREIN MAY NOT BE SUITABLE FOR YOUR SITUATION. YOU SHOULD CONSULT WITH A SPECIALIST WHERE APPROPRIATE. FURTHER, READERS SHOULD BE AWARE THAT WEBSITES LISTED IN THIS WORK MAY HAVE CHANGED OR DISAPPEARED BETWEEN WHEN THIS WORK WAS WRITTEN AND WHEN IT IS READ. NEITHER THE PUBLISHER NOR AUTHORS SHALL BE LIABLE FOR ANY LOSS OF PROFIT OR ANY OTHER COMMERCIAL DAMAGES, INCLUDING BUT NOT LIMITED TO SPECIAL, INCIDENTAL, CONSEQUENTIAL, OR OTHER DAMAGES.

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Wiley publishes in a variety of print and electronic formats and by print-on-demand. Some material included with standard print versions of this book may not be included in e-books or in print-on-demand. If this book refers to media such as a CD or DVD that is not included in the version you purchased, you may download this material at http://booksupport.wiley.com . For more information about Wiley products, visit www.wiley.com .

Library of Congress Control Number: 2022930084

ISBN 978-1-119-84448-8 (pbk); ISBN 978-1-119-84449-5 (ebk); ISBN 978-1-119-84450-1 (ebk)

Microsoft Excel Power Pivot & Power Query For Dummies
To view this book's Cheat Sheet, simply go to www.dummies.com and search for Microsoft Excel Power Pivot Power Query For Dummies Cheat Sheet in the Search box.
Table of Contents
List of Tables
  1. Chapter 2
  2. Chapter 7
  3. Chapter 8
  4. Chapter 10
List of Illustrations
  1. Chapter 1
  2. Chapter 2
  3. Chapter 3
  4. Chapter 4
  5. Chapter 5
  6. Chapter 6
  7. Chapter 7
  8. Chapter 8
  9. Chapter 9
  10. Chapter 10
  11. Chapter 11
  12. Chapter 12
  13. Chapter 13
  14. Chapter 14
Guide
Pages
Introduction

Over the past few years, the concept of self-service business intelligence (BI) has taken over the corporate world. Self-service BI is a form of business intelligence in which end users can independently generate their own reports, run their own queries, and conduct their own analyses, without the need to engage the IT department.

The demand for self-service BI is a direct result of several factors:

  • More power users: Organizations are realizing that no single enterprise reporting system or BI tool can accommodate all their users. Predefined reports and high-level dashboards may be sufficient for casual users, but a large portion of todays users are savvy enough to be considered power users. Power users have a greater understanding of data analysis and prefer to perform their own analysis, often within Excel.
  • Changing analytical needs: In the past, business intelligence primarily consisted of IT-managed dashboards showing historic data on an agreed-upon set of key performance metrics. Managers now demand more dynamic predictive analysis, the ability to perform data discovery iteratively, and the freedom to take the hard left and right turns on data presentation. These managers often turn to Excel to provide the needed analytics and visualization tools.
  • Speed of BI: Users are increasingly dissatisfied with the inability of IT to quickly deliver new reporting and metrics. Most traditional BI implementations fail specifically because the need for changes and answers to new questions overwhelmingly outpaces the IT departments ability to deliver them. As a result, users often find ways to work around the perceived IT bottleneck and ultimately build their own shadow BI (under the radar) solutions in Excel.

Recognizing the importance of the self-service BI revolution and the role Excel plays in it, Microsoft has made substantial investments in making Excel a player in the self-service BI arena by embedding both Power Pivot and Power Query directly into Excel.

You can integrate multiple data sources, define relationships between data sources, process analysis services cubes, and develop interactive dashboards that can be shared on the web. Indeed, the new Microsoft BI tools blur the line between Excel analysis and what is traditionally IT enterprise-level data management and reporting capabilities.

With these new tools in the Excel wheelhouse, its becoming important for business analysts to expand their skill sets to new territory, including database management, query design, data integration, multidimensional reporting, and a host of other skills. Excel analysts have to expand their skill set knowledge base from the one-dimensional spreadsheets to relational databases, data integration, and multidimensional reporting.

Thats where this book comes in. Here, youre introduced to the mysterious world of Power Pivot and Power Query. You find out how to leverage the rich set of tools and reporting capabilities to save time, automate data clean-up, and substantially enhance your data analysis and reporting capabilities.

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