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Practical Business Intelligence

You're reading from  Practical Business Intelligence

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781785885433
Pages 352 pages
Edition 1st Edition
Languages

Table of Contents (16) Chapters

Practical Business Intelligence
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Practical Business Intelligence 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

Uploading data frames to Microsoft SQL Server


We now have two different data frames saved as comma separated value (CSV) files from GitHub and we wish to upload them to our database in Microsoft SQL Server.

Importing DiscountCodebyWeek

The two files are:

  • DiscountCodebyWeek.csv

  • CountryRegionBikes.csv

The first step is to log in to SQL Server using Management Studio and right-click on the AdventureWorks2014 database. The next step is to click on Tasks and then on Import Data.

Set your data source to be a Flat File Source and browse to select the source DiscountCodebyWeek.csv.

When choosing your data source, select the Advanced tab and rename the first column to Index, as seen in the following screenshot:

Additionally, we can rename both "WeekinYear" as well as "DiscountCode" to WeekInYear and DiscountCode by selecting each one and removing the quotes. We also want to change the data type of DiscountCode from string [DT_STR] to numeric [DT_NUMERIC] to confirm that the database will treat DiscountCode...

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