Collect, Combine, and Transform Data Using Power Query in Excel and Power BI

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Microsoft Press, Oct 8, 2018 - Computers - 368 pages
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Using Power Query, you can import, reshape, and cleanse any data from a simple interface, so you can mine that data for all of its hidden insights. Power Query is embedded in Excel, Power BI, and other Microsoft products, and leading Power Query expert Gil Raviv will help you make the most of it. Discover how to eliminate time-consuming manual data preparation, solve common problems, avoid pitfalls, and more. Then, walk through several complete analytics challenges, and integrate all your skills in a realistic chapter-length final project. By the time you’re finished, you’ll be ready to wrangle any data–and transform it into actionable knowledge.

Prepare and analyze your data the easy way, with Power Query

Quickly prepare data for analysis with Power Query in Excel (also known as Get & Transform) and in Power BI

Solve common data preparation problems with a few mouse clicks and simple formula edits

Combine data from multiple sources, multiple queries, and mismatched tables

Master basic and advanced techniques for unpivoting tables

Customize transformations and build flexible data mashups with the M formula language

Address collaboration challenges with Power Query

Gain crucial insights into text feeds

Streamline complex social network analytics so you can do it yourself

For all information workers, analysts, and any Excel user who wants to solve their own business intelligence problems.

 

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This book is very well done. Clear writing, excellent real world examples, easy to follow, and oh my gosh, what an effective learning tool the way it is laid out! It's an ambitious task to attempt to cover the ever changing Microsoft menus/flow, and no doubt at times with different versions a little bit of time is spent finding things (I'm using Excel 2016) - I'm ever so glad that the author didn't let that stop him. I've been using this for a few weeks now and can't say enough good about it.  

Contents

Learning M
Using shared to Explore Builtin Functions
Merging Expressions from Multiple Queries and Scope
Types
Complex Types
Conditions and If Expressions
From Pitfalls to Robust Queries
Basic Text Analytics

Combining Mismatched Tables
Preserving Context
Using Context Cues
Summary
Unpivoting 22 Levels of Hierarchy
Addressing Collaboration Challenges
Summary
Analyzing Your Friends
Summary
Introduction to the Power Query M Formula Language
Index
Copyright

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Common terms and phrases

About the author (2018)

Gil Raviv is a Microsoft MVP and a Power BI blogger at https://DataChant.com. As a Senior Program Manager on the Microsoft Excel Product team, Gil led the design and integration of Power Query as the next-generation Get Data and data-wrangling technology in Excel 2016, and he has been a devoted M practitioner ever since.


With 20 years of software development experience, and four U.S. patents in the fi elds of social networks, cyber security, and analytics, Gil has held a variety of innovative roles in cyber security and data analytics, and he has delivered a wide range of software products, from advanced threat detection enterprise systems to protection of kids on Facebook.


In his blog, DataChant.com, Gil has been chanting about Power BI and Power Query since he moved to his new home in the Chicago area in early 2016. As a Group Manager in Avanade’s Analytics Practice, Gil is helping Fortune 500 clients create modern self-service analytics capability and solutions by leveraging Power BI and Azure.


You can contact Gil at gilra@datachant.com.

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