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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

Importing data into Tableau


As we fire up our Tableau Public application for the first time, we are introduced to the different ways that we can bring data in, as seen in the following screenshot:

Unfortunately, there is no direct means to connect to a SQL Server query. Those connections are only available on the licensed version of Tableau that is available for a two-week trial period. Our best option to visualize query results from MS SQL Server is to export the data into a Text file and then connect to Tableau.

Exporting to a text file

Exporting from SQL Server is quite straightforward. All that is required is to right-click on the result set from the query statement in MS SQL Server and then select Save Results As..., as seen in the following screenshot:

Once the file is saved to a designated location, we can then connect the data results to Tableau Public through the Text File method. As our data is loaded into Tableau, we can view the results immediately to confirm that the numbers...

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