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

AWS Data Lake architecture


Let's look at the data lake architecture with AWS Data Lake solution. The overall services provided by a data lake can be grouped into the following four categories:

  • Managed ingestion to onboard data from various sources and any format

  • Centralized storage that can scale as per the business needs

  • Processing and analyzing at big data scale in various programming languages

  • Governing and securing your data packages

The next diagram shows the overall architecture that will form a data lake in AWS. Let's review each feature category in detail:

Figure 7.1: AWS data lake architecture

Managed data ingestion to AWS Data Lake

Amazon has several tools that can ingest data to S3 and Redshift, and I will discuss the most common options here: Direct Connect, Snowball, and Kinesis. Let's review each of these options at a high level:

  • Direct Connect: With Direct Connect, you can establish private connectivity between AWS and your enterprise data center and provide an easy way to move...