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Practical Business Intelligence

You're reading from   Practical Business Intelligence Optimize Business Intelligence for Efficient Data Analysis

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781785885433
Length 352 pages
Edition 1st Edition
Languages
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Author (1):
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Ahmed Sherif Ahmed Sherif
Author Profile Icon Ahmed Sherif
Ahmed Sherif
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Table of Contents (16) Chapters Close

Practical Business Intelligence
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Practical Business Intelligence FREE CHAPTER 2. Web Scraping 3. Analysis with Excel and Creating Interactive Maps and Charts with Power BI 4. Creating Bar Charts with D3.js 5. Forecasting with R 6. Creating Histograms and Normal Distribution Plots with Python 7. Creating a Sales Dashboard with Tableau 8. Creating an Inventory Dashboard with QlikSense 9. Data Analysis with Microsoft SQL Server

Performing window functions in SQL Server


While most functions and calculations are performed at the reporting level with dashboards and reports, sometimes it may make sense to perform some of these functions at the database level. Some calculation functions are rather complex and can be taxing at the desktop reporting level, but the database on the server level may be more adept at efficiently handling the calculation. Additionally, if the calculation function is performed at the database level, it will provide the same value to all users and maintain consistency. These functions are referred to as window functions as they occur over a defined number of rows and columns. The three main window functions we will cover are as follows:

  • Rank

  • Sum

  • Avg

Rank functions in SQL Server

Ranking is fun! Just ask any college football team. One of the most common functions is to rank a dimension based on a measure from best to worst or first to last. We can apply this function using RANK() over (Order...

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