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

Editing existing datasets


In this section, we will review how QuickSight allows us to edit existing datasets. Follow these steps to edit an existing dataset:

  1. From the QuickSight home page, click on Manage data.

  2. Under Your Data Sets, select the specific dataset you want to edit.

  3. For this demonstration, let's select the S3 data set named USACensus-S3-DataSet, as shown in the following screenshot:

    Figure 2.38 Select existing dataset

  4. You will next see options to Delete data set or Edit data set, as shown in the following screenshot:

    Figure 2.39: Edit or delete S3 dataset

  5. If you select Delete data set, you will get a warning regarding related analyses that will be impacted. The analysis will not be deleted, but the next time you use such an analysis, you will be prompted to select a new data set to enable visualizations. Click on Delete if you really wish to delete or Cancel to skip the delete.

    Figure 2.40: Delete data set confirmation

  6. If you want to edit, click on Edit data set, which will take...