Power Query for Power BI and Excel
معرفی کتاب «Power Query for Power BI and Excel» نوشتهٔ PhD، PEng، Meehrzad Ttabatabaian و Webb, Christopher, Limited, Crossjoin Consulting، منتشرشده توسط نشر Apress : Imprint : Apress در سال 2014. این کتاب در 4 صفحه، فرمت pdf، زبان انگلیسی ارائه شده است.
__Power Query for Power BI and Excel__ is a book for people who are tired of copying and pasting data into Excel worksheets. Power Query, part of the Microsoft Power BI suite, is a tool that automates the process of getting data into Excel and will save you hours of dull, repetitive, and error-prone work! Power Query makes it easy to extract data from many different data sources, filter that data, aggregate it, clean it and perform calculations on it, finally loading that data into either your worksheet or directly into the new Excel 2013 Data Model used by Power Pivot. This concise, practical book provides a complete guide to Power Query and how to use it to solve all of your Excel data-loading problems. __Power Query for Power BI and Excel__ goes well beyond the surface of what Power Query can do. The book goes deep into the underlying M language, showing you how to do amazing things that aren’t going to be possible from just the GUI interface that is covered in most other books. You’ll have full command of the GUI, and you’ll be able to drop into the M language to go beyond what the GUI provides. The depth in this book makes it a must-have item for anyone who is pushing Power BI and Excel to their limits in the pursuit of business intelligence from data analysis. * Teaches the basics of using Power Query to load data into Excel * Helps you solve common, data-related problems with Power Query * Shows how to write your own solutions in the powerful M language This book is a practical guide to Power Query (part of the Microsoft Power BI suite) which automates the process of getting data into Excel. Topics covered include: importing data from sources including relational databases, text files, web pages, Excel workbooks, Facebook, Windows Azure Marketplace, Wikipedia, and OData feeds; building repeatable processes to filter, clean, aggregate, and transform data; loading data into an Excel table or directly into the Excel 2013 Data Model; writing complex expressions in Power Query's M expression language; sharing queries and their data with other users; and positioning data for further analysis using Power View, Power Map, Power Pivot, and the rest of Microsoft's Power BI suite. This book is for readers interested in business intelligence from data analysis Chris Webb. Place Of Publication From Publisher's Website. Includes Index.
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