Mining big data requires a deep investment in people and time. How can you be sure youβre building the right models? With this hands-on book, youβll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig
Agile Data Science: Building Data Analytics Applications with Hadoop
β Scribed by Russell Jurney
- Publisher
- O'Reilly Media
- Year
- 2013
- Tongue
- English
- Leaves
- 177
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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. 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.
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<span><!--[if gte mso 9]><xml> </xml><![endif]--> <p><b>The Complete Guide to Data Science with HadoopβFor Technical Professionals, Businesspeople, and Students</b></p> <p>Β </p> <p>Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. <i><b>Practical Dat
<p><span>The Complete Guide to Data Science with HadoopβFor Technical Professionals, Businesspeople, and Students</span></p><p><span>Β </span></p><p><span>Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. </span><span>Practical Data Science with Hadoo