Agile Data: Building Data Analytics Applications (Russell Jurney)

 
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Agile Data: Building Data Analytics Applications (Russell Jurney)

Data mining needs a significant time and labor commitment. How can you be certain that you are creating the correct models? What instruments enable you to understand the needs of the customer?

You will discover a flexible toolkit and technique for creating powerful analytics apps with the help of this practical book.

Agile Data demonstrates how to set up an environment for data exploration using simple tools like Ruby, Python, Apache Pig, and the JavaScript package D3.js (Data-Driven Documents). As you understand what the data is saying to you, you'll learn an iterative method that enables you to swiftly change the type of study you're performing. The working Heroku apps for all of the example codes in this book are accessible.

  • Build an application to mine your own email inbox
  • Use several data structures to extract multiple features from a single dataset, and learn how different perspectives can yield insight
  • Rapidly boot your applications as simple front-ends to key/value stores
  • Add features driven by descriptive and inferential statistics, machine learning, and data visualization
  • Gather usage data and talk to real users to help guide your data-driven exploration

Ebook Details

About the Authors
In the casino industry, Russell Jurney developed online applications to track the operation of slot machines in the US and Mexico. He migrated to Silicon Valley to build analytics solutions at scale at Ning and LinkedIn after dabbling in entrepreneurship, interactive media, and journalism. Along with his wife Kate and two fluffy dogs, he resides in Pacifica, California, right on the water.
Published
Published Date / Year
(March 22, 2013) (est.), eBook (Last updated: June 11, 2012)
Hardcover
250 pages (est.)
eBook Format
Online, HTML
ISBN-10
1-4493-2626-9
ISBN-13
978-1-4493-2626-5

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