ISBN 9789351103172,Agile Data Science

Agile Data Science

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ISBN 9789351103172
Publisher

Shroff Publishers & Distributors Pvt Ltd

Publication Year 2013
ISBN-13

ISBN 9789351103172

ISBN-10 935110317X
Binding

Paper Back

Number of Pages 200 Pages
Language (English)
Subject

Database programming

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

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.Youll learn an iterative approach that enables you to quickly change the kind of analysis youre 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
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