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Effective Business Intelligence with QuickSight

You're reading from   Effective Business Intelligence with QuickSight Boost your business IQ with Amazon QuickSight

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Product type Paperback
Published in Mar 2017
Publisher
ISBN-13 9781786466365
Length 262 pages
Edition 1st Edition
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Author (1):
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Rajesh Nadipalli Rajesh Nadipalli
Author Profile Icon Rajesh Nadipalli
Rajesh Nadipalli
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Toc

Table of Contents (9) Chapters Close

Preface 1. A Quick Start to QuickSight FREE CHAPTER 2. Exploring Any Data 3. SPICE up Your Data 4. Intuitive Visualizations 5. Secure Your Environment 6. QuickSight Mobile 7. Big Data Analytics Mini Project 8. QuickSight Product Shortcomings

What this book covers

Chapter 1, A Quick Start to QuickSight, gives an overview of Amazon QuickSight and how it differs to traditional BI tools.

Chapter 2, Exploring Any Data, explains that QuickSight can analyze data from various sources including AWS data stores, files in common format, Salesforce, and popular database engines. QuickSight has a simple interface to connect to these sources and create datasets from them that can be stored in SPICE for subsequent analysis. In this chapter, we will first look at Amazon's big data ecosystem and then review how QuickSight can be used to connect to the various data stores.

Chapter 3, SPICE up Your Data, explores SPICE which is the accelerator of QuickSight, delivering interactive visualizations on large data sets in less than 60 seconds. SPICE is engineered with parallelism, automatic replications, and a rich calculation engine to serve thousands of users who can simultaneously perform fast interactive queries. 

Chapter 4, Intuitive Visualizations, looks at visualization capabilities in detail. QuickSight can create a wide variety of visuals on different datasets imported to SPICE.

Chapter 5, Secure Your Environment, explains that to secure your BI environment you need to control which users have access to QuickSight and also what resources QuickSight has permissions to read.

Chapter 6, QuickSight Mobile, covers the QuickSight iOS mobile app. It allows you to stay connected to your data from anywhere, anytime, on your iPhone, iPad, or iPod touch. You can visualize, explore, and share your analyses, dashboards, and stories with an intuitive user experience and get answers to business questions in your palm.

Chapter 7, Big Data Analytics Mini Project, has a real-life use case leveraging the AWS Data Lake solution. Modern data architectures are moving to a data lake solution that has the ability to ingest data from various sources, transform, and analyze at big data scale. Amazon now offers a data lake solution that packages the most commonly needed big data components along with a web application to jump-start the data lake build out. 

Chapter 8, QuickSight Product Shortcomings, covers some shortcomings of QuickSight. While the product is revolutionary and has a bold vision, there are several shortcomings in the current version for it to replace enterprise solutions, which are discussed in this final chapter.

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