collect, combine, and transform data using power … query book intro.pdfcollect, combine, and...

Collect, Combine,and TransformData UsingPower Query inExcel and Power BI

Gil Raviv

[email protected]

[email protected]

https://click.linksynergy.com/link?id=lMdUKVTD9OM&offerid=163217.2827433&type=2&murl=http://www.informit.com/title/9781509307951

©2017 Avanade Inc. All Rights Reserved. <Highly Confidential> See Avanade’s Data Management Policy

©2018 Avanade Inc. All Rights Reserved.2

About Gil Raviv

• Microsoft MVP

• Director Analytics at Avanade, helps organizations to enable self-service BI

• Power BI Blogger at DataChant.com

• Former PM on Microsoft Excel Product team

https://avanade.sharepoint.com/sites/policies/Policies2/Data Management/1431_DataManagement.pdf

https://www.avanade.com/

http://datachant.com/


©2018 Avanade Inc. All Rights Reserved.

Avanade at a Glance in Analytics

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Power Query – The Best Data Acquisition & Preparation Tool



Excel 2010 and

2013 Add-In

Excel 2016

Data ribbon

Azure Analysis

Services

Power BI Desktop

Microsoft Flows Power Apps Dataflows

Power BI Gateway

+ Service

Power Query Leading the Data Prep Experiencesin Microsoft Stack

Power Query is Available in these Products




The Challenges

• Power Query Editor is frequently updated

• UI is going through constant incremental changes

• New connectors

• New transformations

• The new data exploration

• Intellisense in Advanced Editor

• How can I write a book that will still be relevant in the

future?

• After a year?

• After 3 years?

• After 5 years?

• My solution

• Don’t focus on features, focus on capabilities

• Hands-on

• Sequences and Principles




Chapter 1: Introduction to Power Query

How it started

“Power Query was initially formed in 2011 as part of Microsoft SQL Azure Labs. It was announced at

PASS Summit in October 2011 under the Microsoft codename “Data Explorer.” Figure 1-1 shows its

initial user interface.”




Chapter 2: Basic Data Preparation Challenges

0000Messy1111 Cleaned




Chapter 3: Combining Data from Multiple Sources

Combined

Siloed

Siloed

Siloed




Chapter 4: Combining Mismatched Tables

Mismatched

Combinedmis_matched

MISMATCHED




Chapter 5: Preserve Context

Combined

+

Preserved

contextless

contextless

contextless

Co

nte

xtC

on

text

Co

nte

xt




Chapter 6: Unpivoting Tables

Well-

Structured

Badly

Structured




Chapter 7: Advanced Unpivoting and Pivoting Tables

Well-

Structured

Badly

Structured




Chapter 8: Addressing Collaboration Challenges




Chapter 9: Introduction to the Power Query M Formula Language




Chapter 10: From Pitfalls to Robust Queries




Chapter 11: Basic Text Analytics




Chapter 12: Advanced Text Analytics: Extracting Meaning




Chapter 13: Social Network Analytics




Chapter 14: Final Project – Combining It All Together




• Q&A

• Bonus Exercises

• Cool Demos



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