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

Additional data lake features


In this section, I will discuss additional features of AWS Data Lake administration that will be handy to manage the data lake.

User management for the AWS Data Lake

The AWS Data Lake solution comes with good user management capabilities that allow administrators to manage access to their users. Let's review the key aspects of user management.

Inviting a new user

Here are the steps to add a new user to our data lake:

  1. From the navigation pane, select Users under the Administration section and then click on Invite user.

  2. Enter the name, e-mail, and role.

  3. A Member role has following permissions:

    • View and search for all packages in the data lake

    • Add, remove, and generate manifests for packages

    • Create, update, and delete packages created by them

    • Add and remove datasets from the packages created by them

    • Generate a secret access key if the Administrator has granted them API access

  4. An Admin role has the following permissions in addition to those that a member has:

    • Create user invitations...