Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Practical Business Intelligence

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

Arrow left icon
Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781785885433
Length 352 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Ahmed Sherif Ahmed Sherif
Author Profile Icon Ahmed Sherif
Ahmed Sherif
Arrow right icon
View More author details
Toc

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

Getting to know your data in SQL Server


For the purposes of this book, we will be focusing on Excel 2016. To learn more about where to purchase and/or download the latest version of Microsoft Excel, visit the following website: https://products.office.com/en-US/.

Working through the tables that we have inside our SQL Server database can be a bit of a daunting task. There are over 60 tables in the AdventureWorks2014 database, with the majority of them being dimensional or lookup tables, such as [Person].[CountryRegion], as seen in the following screenshot:

The previous table is basically a lookup for country names associated with a specific code. The next step would be to identify a table to function as the fact table within this schema. That table would be [AdventureWorks2014].[Sales].[SalesOrderHeader].

To see all the columns in the table, run the following script:

SELECT * 
FROM [AdventureWorks2014].[Sales].[SalesOrderHeader] 

As can be seen from the result set, there are several...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image