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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 R to a SQL query


R has a package called RODBC that provides access to databases through an ODBC interface. We will continue to use RStudio as our IDE of choice for R. We first run scripts to install and call the RODBC library:

install.packages('RODBC') 
library('RODBC') 

The next step is to create an R connection that will link to the SQLBI OBDC connection we just created:

connection_SQLBI<-odbcConnect('SQLBI') 

If we are interested in obtaining the connection details for the connection, we can run the following script:

connection_SQLBI 

The output is the parameters for the connection, as seen in the following screenshot:

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