Excel Power Query


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Master Your Data with Power Query in Excel and Power BI


Master Your Data with Power Query in Excel and Power BI

Author: MrExcel's Holy Macro! Books

language: en

Publisher: Packt Publishing Ltd

Release Date: 2024-09-26


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Master data transformation techniques using Power Query in Excel and Power BI. Learn to manage, optimize, and automate your data workflows with practical examples. Key Features Comprehensive coverage of Power Query from basics to advanced techniques Seamless integration and movement of queries between Excel and Power BI Hands-on practice with real-world data scenarios to build your confidence Book DescriptionThis book equips you with the essential skills to master Power Query in Excel and Power BI. Starting with the basics, you'll learn query management, data types, and error handling, establishing a solid foundation. You'll explore techniques to move queries between Excel and Power BI, ensuring seamless workflow integration. As the guide progresses, you'll delve into data import methods from flat files, Excel, web-based, and relational sources, while performing key transformations like appending, combining, and reshaping data. Advanced topics such as conditional logic, Power Query values, and M Language fundamentals will enhance your ability to customize and optimize queries. The book also covers the creation of parameters and custom functions, alongside applying sophisticated date and time techniques. Finally, you'll learn to optimize query performance and automate data refreshes, ensuring your analysis remains current. By the end of this guide, you'll have the confidence and expertise to effectively transform and manage data using Power Query, significantly enhancing your data analysis capabilities in Excel and Power BI.What you will learn Understand Power Query fundamentals Manage queries effectively Transform and cleanse data Import data from diverse sources Utilize advanced features like M language Automate and optimize data processes Who this book is for Ideal for data analysts, Excel users, and Power BI enthusiasts looking to streamline data processing. Readers should have a basic understanding of Excel and data handling concepts. No prior knowledge of Power Query is required.

Power Query for Power BI and Excel


Power Query for Power BI and Excel

Author: Christopher Webb

language: en

Publisher: Apress

Release Date: 2014-07-05


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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 iscovered 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

Getting started with Power Query in Power BI and Excel


Getting started with Power Query in Power BI and Excel

Author: Reza Rad

language: en

Publisher: RADACAD Systems Limited

Release Date: 2021-08-27


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Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in the structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else comes from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may be already familiar with some other data preparation and data transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Unfortunately, because Power Query and data preparation is the kitchen work of the BI system, many Power BI users skip the learning of it and become aware of it somewhere along their BI project. Once they get familiar with it, they realize there are tons of things they could have implemented easier, faster, and in a much more maintainable way using Power Query. In other words, they learn mastering Power Query is the key skill toward mastering Power BI. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is complied into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (this book) Mastering Power Query in Power BI and Excel (already available to be purchased separately) Power Query dataflows (will be published later) Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query.