Book Image

Effective Business Intelligence with QuickSight

By : Rajesh Nadipalli
Book Image

Effective Business Intelligence with QuickSight

By: Rajesh Nadipalli

Overview of this book

Amazon QuickSight is the next-generation Business Intelligence (BI) cloud service that can help you build interactive visualizations on top of various data sources hosted on Amazon Cloud Infrastructure. QuickSight delivers responsive insights into big data and enables organizations to quickly democratize data visualizations and scale to hundreds of users at a fraction of the cost when compared to traditional BI tools. This book begins with an introduction to Amazon QuickSight, feature differentiators from traditional BI tools, and how it fits in the overall AWS big data ecosystem. With practical examples, you will find tips and techniques to load your data to AWS, prepare it, and finally visualize it using QuickSight. You will learn how to build interactive charts, reports, dashboards, and stories using QuickSight and share with others using just your browser and mobile app. The book also provides a blueprint to build a real-life big data project on top of AWS Data Lake Solution and demonstrates how to build a modern data lake on the cloud with governance, data catalog, and analysis. It reviews the current product shortcomings, features in the roadmap, and how to provide feedback to AWS. Grow your profits, improve your products, and beat your competitors.
Table of Contents (15 chapters)
Effective Business Intelligence with QuickSight
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

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...