{pdf download} M Is for (Data) Monkey: A Guide

M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query by Ken Puls, Miguel Escobar

• M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query
• Ken Puls, Miguel Escobar
• Page: 212
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781615470341
• Publisher: Holy Macro! Books

M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query

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Power Query is one component of the Power BI (Business Intelligence) product from Microsoft, and “M” is the name of the programming language created by it. As more business intelligence pros begin using Power Pivot, they find that they do not have the Excel skills to clean the data in Excel; Power Query solves this problem. This book shows how to use the Power Query tool to get difficult data sets into both Excel and Power Pivot, and is solely devoted to Power Query dashboarding and reporting.

CP040: Intro. to Power Query – What is it and how to get started
CP040: Intro. to Power Query – What is it and how to get started – with Miguel Escobar by Chris Webb · M is for Data Monkey – A guide to M language in Power Query by Here is a smart way to become awesome in Excel.
M Is for (Data) Monkey: A Guide to the M Language in Excel Power
M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query by Ken Puls : Power Query is one component of the Power BI (Business Intelligence) 
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(Data) Monkey: A Guide to the M Language in Excel Power Query
M is for (Data) Monkey: A Guide to the M Language in Excel Power Query Puls Ken ; Escobar Miguel. ISBN: 9781615470341. Price: € 34.75. Availability: None 
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How to Visualize Your Data Analysis with Excel's Power Tools | BI In this blog entry I'm going to discuss accessing an Excel file that's stored in OneDrive. Your Guide to the New Power BI Desktop | BI with Microsoft Tools | Scoop. Q&A feature that uses natural language query technology to provide 
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M Is for (Data) Monkey : A Guide to the M Language in Excel Power Query. Puls, Ken/ Escobar, Miguel. 価格 ¥3,687（本体¥3,414）; Holy Macro Books（2015/12 
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