Learn Power Query: A low-code approach to connect and transform data from multiple sources for Power BI and Excel
By 作者:Linda Foulkes and Warren Sparrow
pages 页数: 428 pages
Publisher Finelybook 出版社: Packt Publishing (17 July 2020)
Language 语言: English
The Book Description robot was collected from Amazon and arranged by Finelybook
Discover how you can combine data from various sources to create data models to suit your business requirements with the help of this clear and concise guide
Power Query is a data connection technology that allows you to connect, combine, and refine data from multiple sources to meet your business analysis requirements. With this Power Query book, you’ll be empowered to work with a variety of data sources to create interactive reports and dashboards using Excel and Power BI.
You’ll start By 作者:learning how to access Power Query across different versions of Excel and install the Power BI engine. After you’ve explored Power Pivot, you’ll see why Excel users find it challenging to clean data in Power Pivot and learn how Power Query can help to tackle the problem. The book will show you how to transform data using the Query Editor and write functions in Power Query. A dedicated section will focus on functions such as IF, Index, and Modulo, and creating parameters to alter query paths in a table. You’ll also work with dashboards, get to grips with multi-dimensional reporting, and create automated reports. As you advance, you’ll cover the M formula language in Power Query, delve into the basic M syntax, and write the M query language with the help of examples such as loading all library functions offline in Excel and Power BI. Finally, the book will demonstrate the difference between M and DAX and show how results are produced in M.
By the end of this book, you’ll be ready to create impressive dashboards and multi-dimensional reports in Power Query and turn data into valuable insights.
What you will learn
Convert worksheet data into a table format ready for query output
Create a dynamic connection between an Access database and Excel workbook
Reshape tabular data By 作者:altering rows, columns, and tables using various Power Query tools
Create new columns automatically from filenames and sheet tabs, along with multiple Excel data files
Streamline and automate reports from multiple sources
Explore different customization options to get the most out of your dashboards
Understand the difference between the DAX language and Power Query’s M language