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

Collect-Combine-and-Transform.pdf
ISBN: 9781509307951 | 432 pages | 11 Mb

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

• Gil Raviv
  

• Page: 432
  

• Format: pdf, ePub, fb2, mobi
  

• ISBN: 9781509307951
  

• Publisher: Microsoft Press
  

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

Free isbn books download Collect, Combine, and Transform Data Using Power Query in Excel and Power BI ePub MOBI DJVU by Gil Raviv 9781509307951 English version

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