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Power Query Cookbook

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Publisher:
Packt Publishing
Publication Date:
2021
Language:
English

Description

Leverage your source data from hundreds of different connections, perform millions of different transformations, and easily manage highly complex data lifecycles with Power Query Key Features Collect, combine, and transform data using Power Query's data connectivity and data preparation features Overcome the problems faced while accessing data from multiple sources and reshape it to meet your business requirements Explore how the M language can be used to write your own customized solutions Book Description Power Query is a data preparation tool that enables data engineers and business users to connect, reshape, enrich, and transform their data to facilitate relevant business insights and analysis. With Power Query's wide range of features, you can perform no-code transformations and complex M code functions at the same time to get the most out of your data. This Power Query book will help you to connect to data sources, achieve intuitive transformations, and get to grips with preparation practices. Starting with a general overview of Power Query and what it can do, the book advances to cover more complex topics such as M code and performance optimization. You'll learn how to extend these capabilities by gradually stepping away from the Power Query GUI and into the M programming language. Additionally, the book also shows you how to use Power Query Online within Power BI Dataflows. By the end of the book, you'll be able to leverage your source data, understand your data better, and enrich it with a full stack of no-code and custom features that you'll learn to design by yourself for your business requirements. What you will learn Understand how to use Power Query to connect and explore data Explore ways to reshape and enrich data Discover the potential of Power Query across the Microsoft platform Build complex and custom transformations Use M code to write new queries against data sources Use the Power Query Online tool within Power BI Dataflows Implement best practices such as reusing dataflows, optimizing expanding table operations, and field mapping Who this book is for This book is for data analysts, BI developers, data engineers, and anyone looking for a desk reference guide to learn how Power Query can be used with different Microsoft products to handle data of varying complexity. Beginner-level knowledge of Power BI and the M Language will help you to get the best out of this book.

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Grouping Information

Grouped Work IDd8a5b173-14b1-be7f-bbf2-0e6529863da7
Grouping Titlepower query cookbook
Grouping Authorandrea janicijevic
Grouping Categorybook
Grouping LanguageEnglish (eng)
Last Grouping Update2025-08-02 22:23:36PM
Last Indexed2025-08-28 22:46:58PM

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Janicijevic, Andrea
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Janicijevic, Andrea
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Leverage your source data from hundreds of different connections, perform millions of different transformations, and easily manage highly complex data lifecycles with Power Query Key Features Collect, combine, and transform data using Power Query's data connectivity and data preparation features Overcome the problems faced while accessing data from multiple sources and reshape it to meet your business requirements Explore how the M language can be used to write your own customized solutions Book Description Power Query is a data preparation tool that enables data engineers and business users to connect, reshape, enrich, and transform their data to facilitate relevant business insights and analysis. With Power Query's wide range of features, you can perform no-code transformations and complex M code functions at the same time to get the most out of your data. This Power Query book will help you to connect to data sources, achieve intuitive transformations, and get to grips with preparation practices. Starting with a general overview of Power Query and what it can do, the book advances to cover more complex topics such as M code and performance optimization. You'll learn how to extend these capabilities by gradually stepping away from the Power Query GUI and into the M programming language. Additionally, the book also shows you how to use Power Query Online within Power BI Dataflows. By the end of the book, you'll be able to leverage your source data, understand your data better, and enrich it with a full stack of no-code and custom features that you'll learn to design by yourself for your business requirements. What you will learn Understand how to use Power Query to connect and explore data Explore ways to reshape and enrich data Discover the potential of Power Query across the Microsoft platform Build complex and custom transformations Use M code to write new queries against data sources Use the Power Query Online tool within Power BI Dataflows Implement best practices such as reusing dataflows, optimizing expanding table operations, and field mapping Who this book is for This book is for data analysts, BI developers, data engineers, and anyone looking for a desk reference guide to learn how Power Query can be used with different Microsoft products to handle data of varying complexity. Beginner-level knowledge of Power BI and the M Language will help you to get the best out of this book.
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eBook
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d8a5b173-14b1-be7f-bbf2-0e6529863da7
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2 Months
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Six Months
Year
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9781800567931
publishDate
2021
publisher
Packt Publishing
recordtype
grouped_work
subject_facet
Computers
Electronic books
Information visualization
title_display
Power Query Cookbook
title_full
Power Query Cookbook [electronic resource] / Andrea Janicijevic
Power Query Cookbook [electronic resource] / Janicijevic, Andrea
title_short
Power Query Cookbook
topic_facet
Computers
Electronic books
Information visualization

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oreillywesthaven:97818005694859781800569485O'Reilly (West Haven)Online O'Reilly (West Haven)eBookeBook1falsetrueO'Reilly (West Haven)https://learning.oreilly.com/library/view/-/9781800569485/?arAvailable OnlineO'Reilly (West Haven)

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hoopla:MWT17530390eBookeBookEnglishPackt Publishing20211 online resource (412 pages)
oreillywesthaven:9781800569485eBookeBook1st editionEnglishPackt Publishing20211 online resource (412 pages)

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