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Effective Business Intelligence with QuickSight

You're reading from   Effective Business Intelligence with QuickSight Boost your business IQ with Amazon QuickSight

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Product type Paperback
Published in Mar 2017
Publisher
ISBN-13 9781786466365
Length 262 pages
Edition 1st Edition
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Author (1):
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 Nadipalli Nadipalli
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Nadipalli
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Table of Contents (15) Chapters Close

Effective Business Intelligence with QuickSight
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. A Quick Start to QuickSight FREE CHAPTER 2. Exploring Any Data 3. SPICE up Your Data 4. Intuitive Visualizations 5. Secure Your Environment 6. QuickSight Mobile 7. Big Data Analytics Mini Project 8. QuickSight Product Shortcomings

Loading data from Athena to QuickSight


In this section, we will review how to use Athena, which is a new service from Amazon that enables SQL queries on S3 files without the need for any additional infrastructure.

Uploading data to S3

For this demonstration, we will use all of the files for CollegeScorecard from Data.gov as discussed in Chapter 1, A Quick Start to QuickSightBuilding your first analysis under 60 seconds section.

Note

The dataset is available from the following public URL https://catalog.data.gov/dataset/college-scorecard.

Here are the detailed steps to upload a file to an S3 filesystem:

  1. Download the CollegeScorecard_Raw_Data.zip to your local system (laptop) and unzip the file.

  2. To upload the file to AWS S3, login to our account and from the Services menu, select S3.

  3. Select the S3 bucket or create a new S3 bucket. In the following screenshot, I have selected the collegescorecard bucket that I created earlier.

  4. Create a folder CollegeRaw and then subfolders, one for each year 2010...

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