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

Overview of AWS Data Lake solution


A data lake is a new architectural pattern that is a popular way to store and analyze data as it allows enterprises to easily ingest and store data in any format, both structured and unstructured. A modern data lake provides more agility and flexibility than traditional management systems and allows businesses to store all their data, structured and unstructured, in a central repository.

In Chapter 2, Exploring Any Data, we looked at various services that make up an AWS big data ecosystem. These services are building blocks for a data lake and are broadly classified into four major categories: collect, store, analyze, and orchestrate.

To jump start the build-out of a new data lake, AWS offers a data lake solution that has the key building blocks already packaged and deployed, along with an intuitive web application. This pre-packaged implementation allows customers to quickly realize the data lake concept and put a real web interface in front of the data...