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

About the Reviewer

Arthur Zubarev is a data platform engineer who specializes in developing fast data pipelines, data acquisition, analysis, validation, performance tuning, data warehousing, and visualizations. His skills and passion include relational and NoSQL database engines, big data, cloud technologies, streaming data, IoT, social web, and general programming.

Arthur is a data platform MVP for the sixth year, a member of the Data Advisors group for Microsoft, R for Visual Studio beta tester, MCDBA, MCAD, and MCITP. He strives to be an early adopter of new technologies and likes to embrace technical challenges. In addition, he is a frequent presenter and event organizer. 

I would like to thank my wonderful family for always understanding the importance of my contributions to the technical community, even if that occurred at the expense of our spare time. This has allowed me to effectively deliver as much timely feedback as I could to produce this fantastic book.