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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

Connecting Python to Microsoft SQL Server


Before we can begin to visualize our data within Python, we must first establish a connection to Microsoft SQL Server from Python. As in Chapter 2, Web Scraping, we will continue to use PyCharm as our IDE of choice for development. There are many IDEs that are available free of use to develop Python projects. If you choose to develop with another tool, you should still be able to follow along in this chapter.

Starting a new project in PyCharm

Once you have PyCharm started, you may have your previous project from Chapter 2, Web Scraping, still open. We wish to separate the projects, so we will close this project by selecting File and Close Project, as seen in the following screenshot:

Next, we can start a new project for this chapter by selecting Create New Project on the main menu, as seen in the following screenshot:

We can then select the Location and the Interpreter for this project to save our work, as well as confirming that we are using the...

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