Agile Data Science
Agile Data Science
O’Reilly Media (October 2013) | ISBN: 1449326269 | PDF + EPUB | 178 pages | 23.2 MB


Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop.


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Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You’ll learn an iterative approach that enables you to quickly change the kind of analysis you’re doing, depending on what the data is telling you. All example code in this book is available as working Heroku apps.

Create analytics applications by using the agile big data development methodology
Build value from your data in a series of agile sprints, using the data-value stack
Gain insight by using several data structures to extract multiple features from a single dataset
Visualize data with charts, and expose different aspects through interactive reports
Use historical data to predict the future, and translate predictions into action
Get feedback from users after each sprint to keep your project on track

Table of Contents

Part I: Setup
Chapter 1. Theory
Chapter 2. Data
Chapter 3. Agile Tools
Chapter 4. To the Cloud!

Part II: Climbing the Pyramid
Chapter 5. Collecting and Displaying Records
Chapter 6. Visualizing Data with Charts
Chapter 7. Exploring Data with Reports
Chapter 8. Making Predictions
Chapter 9. Driving Actions


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