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Practical Big Data Analytics

You're reading from   Practical Big Data Analytics Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781783554393
Length 412 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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 Dasgupta Dasgupta
Author Profile Icon Dasgupta
Dasgupta
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Toc

Table of Contents (16) Chapters Close

Title Page
Packt Upsell
Contributors
Preface
1. Too Big or Not Too Big FREE CHAPTER 2. Big Data Mining for the Masses 3. The Analytics Toolkit 4. Big Data With Hadoop 5. Big Data Mining with NoSQL 6. Spark for Big Data Analytics 7. An Introduction to Machine Learning Concepts 8. Machine Learning Deep Dive 9. Enterprise Data Science 10. Closing Thoughts on Big Data 11. External Data Science Resources 1. Other Books You May Enjoy

The CMS Open Payments Portal


In this section, we will begin developing our application for CMS Open Payments.

The Packt Data Science VM contains all the necessary software for this tutorial. To download the VM, please refer to Chapter 3The Analytics Toolkit.

Downloading the CMS Open Payments data

The CMS Open Payments data is available directly as a web-based download from the CMS website. We'll download the data using the Unix wget utility, but first we have to register with the CMS website to get our own API key:

  1. Go to https://openpaymentsdata.cms.gov and click on the Sign In link at the top-right of the page:

Homepage of CMS OpenPayments

 Click on Sign Up:

Sign-Up Page on CMS OpenPayments

Enter your information and click on the Create My Account button:

Sign-Up Form for CMS OpenPayments

 Sign In to your account:

Signing into CMS OpenPayments

Click on Manage under Packt Developer's Applications. Note that Applications here refers to apps that you may create that will query data available on the...

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