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

Joining data in SPICE


Joining tables is a very common requirement for data analysis and SPICE makes this effort a breeze. To understand this feature, let's go for a real use case. In the Chapter 2, Exploring Any Data, Loading data from Redshift to Quicksight section, we had uploaded USACensusSalarybyZip.csv, which has salary and population information by USA zip code. Now let's upload another file that has mapping of zip codes to USA states and cities and then we will join this with the other dataset in SPICE.

Loading data to Redshift

First we need to load this new file to Redshift as a table. Here are the steps to load the data to Redshift:

  1. Download the data file from this GitHub location: https://github.com/rnadipalli/quicksight/blob/master/sampledata/USAZipCodes.csv.

  2. Upload the file to your S3 bucket.

  3. Create a new AWS data pipeline to upload S3 data to your Redshift cluster and call it USAZIPCODES . You can clone the data pipeline created in the Chapter 2, Exploring Any Data, Creating and...