
Data Mashup with Microsoft Excel Using Power Query and M
Description
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Getting data into Excel is a prerequisite for using Excel's analytics capabilities. This book takes you beyond copying and pasting by showing you how to connect to your corporate databases that are hosted in the Azure cloud, and how to pull data from Oracle Database and SQL Server, and other sources.
Accessing data is only half the problem, and the other half involves cleansing and rearranging your data to make it useful in spreadsheet form. Author Adam Aspin shows you how to create datasets and transformations. For advanced problems, there is help on the M language that is built into Excel, specifically to support mashing up data in support of business intelligence and analysis. If you are an Excel user, you won't want to be without this book that teaches you to extract and prepare external data ready for use in what is arguably the world's leading analytics tool.
What You Will Learn
- Connect to a range of external data, from databases to Azure sources
- Ingest data directly into your spreadsheets, or into PowerPivot data models
- Cleanse and prepare external data so it can be used inside Excel
- Refresh data quickly and easily to always have the latest information
- Transform data into ready-to-use structures that fit the spreadsheet format
- Execute M language functions for complex data transformations
Who This Book Is For
Excel users who want to access data from external sources-including the Microsoft Azure platform-in order to create business intelligence reporting, dashboards, and visualizations. For Excel users needing to cleanse and rearrange such data to meet their own, specific needs.
More details
Other editions
Additional editions

Person
Business intelligence has been Adam's principal focus for the last 20 years. He has applied his skills for a variety of clients in a range of industry sectors. He is the author of Apress books: SQL Server Data Integration Recipes , Pro Power BI Desktop (now in its third edition), Business Intelligence with SQL Server Reporting Services , and High Impact Data Visualization.
A graduate of Oxford University, Adam began his career in publishing before moving into IT. Databases soon became a passion, and his experience in this arena ranges from dBase to Oracle, and Access to MySQL, with occasional sorties into the world of DB2. He is, however, most at home in the Microsoft universe when using SQL Server Analysis Services, SQL Server Reporting Services, and SQL Server Integration Services and Power BI (both on-premise and in Azure).
A fluent French speaker, Adam has worked in France and Switzerland for many years.
Content
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
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- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.