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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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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

Loading text files to QuickSight


The easiest way to load data to QuickSight is to just upload it to SPICE, which was explained in Chapter 1, A Quick Start to QuickSight. Another alternative to uploading text files is to use S3 storage and this section will detail this flow.

Uploading a data file to S3

For this demonstration, we will use the file USAStateAbbr.csv, which has a list of USA state codes and the corresponding full names.

Note

The sample files are in GitHub at https://github.com/rnadipalli/QuickSight/tree/master/sampledata.

Here are the detailed steps to upload a file to an S3 filesystem:

  1. Download the file to your local system (laptop).

  2. Upload the file to AWS S3, login to our account, and from the Services menu select S3.

  3. Select the S3 bucket or create a new S3 bucket. In the next screenshot, I have selected the collegescorecard bucket that I created earlier.

  4. Click on the Upload button, select the local file from your system, and then upload.

    Figure 2.7: Upload text file to S3

  5. Now that...

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