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

Supported data sources


QuickSight supports broadly three types of data sources: relational, file, and SaaS. For relational sources it supports Athena, RDS, Redshift, MySQL, and SQL Server sources. For file sources, it supports Excel, CSV, and common log formats in S3. For SaaS it supports Salesforce.

Before we explore data sources, I would like the readers to get familiar with QuickSight concept of data source and dataset. A data source identifies sources like relational database, S3 filesystem, and SaaS system like SAP. A dataset identifies specific data in a data source, for example, a table is a dataset in a RDBMS data source. A dataset is imported into SPICE for fast access.

Now let's explore the list of supported data sources using the following steps:

  1. From the QuickSight home page click on Manage data, which will show a list of existing datasets and a summary of your current SPICE utilization, as shown in the following screenshot:

    Figure 2.2: Adding a new dataset

  2. Next from this page ...