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 text files to QuickSight


The easiest way to load data to QuickSight is to just upload it to SPICE, which was explained in Chapter 1, A Quick Start to QuickSight. Another alternative to uploading text files is to use S3 storage and this section will detail this flow.

Uploading a data file to S3

For this demonstration, we will use the file USAStateAbbr.csv, which has a list of USA state codes and the corresponding full names.

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

  1. Download the file to your local system (laptop).

  2. 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 next screenshot, I have selected the collegescorecard bucket that I created earlier.

  4. Click on the Upload button, select the local file from your system, and then upload.

    Figure 2.7: Upload text file to S3

  5. Now that...