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.
- Verlag: Apress / Springer, Berlin
- Artikelnr. des Verlages: 978-1-4842-6017-3
- 1st ed.
- Seitenzahl: 412
- Erscheinungstermin: 17. Juli 2020
- Abmessung: 254mm x 178mm x 22mm
- Gewicht: 772g
- ISBN-13: 9781484260173
- ISBN-10: 1484260171
- Artikelnr.: 59239262