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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

From data to visualization using QuickSight


Let's review the steps involved in getting to the visualization stage from source data.

  1. First, to work with data, we need to create QuickSight datasets, which typically include one or more tables, or files, from the source.

  2. Optionally, if the dataset needs some cleanup or format changes, you can prepare data using the QuickSight SPICE engine.

  3. From each dataset, we can create one or more analyses, which are containers for visualizations.

  4. Within each analysis, we can create one or more visualizations. A visualization is a graphical representation on a dataset enabling consumers to get insights from the data.

  5. Optionally, you can add scenes to the default story to provide a narrative about the insights.

  6. Optionally, you can create read-only snapshots of the visualizations as dashboards and share the insights with others.

Note

For further information on dataset creation, refer to Chapter 3, Spice up Your Data.

The preceding steps to get to visualizations are...

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