Book Image

Practical Business Intelligence

By : Ahmed Sherif
Book Image

Practical Business Intelligence

By: Ahmed Sherif

Overview of this book

Business Intelligence (BI) is at the crux of revolutionizing enterprise. Everyone wants to minimize losses and maximize profits. Thanks to Big Data and improved methodologies to analyze data, Data Analysts and Data Scientists are increasingly using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis to build an insightful BI solution. Efficient BI strives to achieve the automation of data for ease of reporting and analysis. Through this book, you will develop the ability to think along the right lines and use more than one tool to perform analysis depending on the needs of your business. We start off by preparing you for data analytics. We then move on to teach you a range of techniques to fetch important information from various databases, which can be used to optimize your business. The book aims to provide a full end-to-end solution for an environment setup that can help you make informed business decisions and deliver efficient and automated BI solutions to any company. It is a complete guide for implementing Business intelligence with the help of the most powerful tools like D3.js, R, Tableau, Qlikview and Python that are available on the market.
Table of Contents (16 chapters)
Practical Business Intelligence
About the Author
About the Reviewer
Customer Feedback

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...