Big Data For Chimps
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Big Data For Chimps
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Author : Philip (flip) Kromer
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-09-28
Big Data For Chimps written by Philip (flip) Kromer and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-28 with Computers categories.
Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book’s approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you’ll also learn how to use Apache Pig to process data. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset—baseball performance statistics—throughout the book Work with examples of several analytic patterns, and learn when and where you might use them
Big Data For Chimps
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Author : Philip Kromer
language : en
Publisher:
Release Date : 2015-08-25
Big Data For Chimps written by Philip Kromer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-25 with Computers categories.
To help you answer big data questions, this unique guide shows you how to use simple, fun, and elegant tools leveraging Apache Hadoop. You'll learn how to break problems into efficient data transformations to meet most of your analysis needs. Its developer-friendly approach works well for anyone using Hadoop, and flattens the learning curve for those working with big data for the first time. Written by Philip Kromer, founder and CTO at Infochimps, this book uses real data and real problems to illustrate patterns found across knowledge domains. It equips you with a fundamental toolkit for performing statistical summaries, text mining, spatial and time-series analysis, and light machine learning. For those working in an elastic cloud environment, you'll learn superpowers that make exploratory analytics especially efficient. Learn from detailed example programs that apply Hadoop to interesting problems in context Gain advice and best practices for efficient software development Discover how to think at scale by understanding how data must flow through the cluster to effect transformations Identify the tuning knobs that matter, and rules-of-thumb to know when they're needed
Big Data For Chimps
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Author : Philip Kromer. Russell Jurney
language : en
Publisher:
Release Date : 2015
Big Data For Chimps written by Philip Kromer. Russell Jurney and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Big Data For Chimps A Guide To Massive Scale Data Processing
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Author : KROMER.
language : en
Publisher:
Release Date : 2015
Big Data For Chimps A Guide To Massive Scale Data Processing written by KROMER. and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Big Data For Chimps
ACCESS HERE
Author : Philip (flip) Kromer
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-09-28
Big Data For Chimps written by Philip (flip) Kromer and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-28 with Computers categories.
Annotation To help you answer big data questions, this unique guide shows you how to use simple, fun, and elegant tools leveraging Apache Hadoop. You'll learn how to break problems into efficient data transformations to meet most of your analysis needs.
Business Models For The Data Economy
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Author : Q. Ethan McCallum
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-10-28
Business Models For The Data Economy written by Q. Ethan McCallum and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-28 with Computers categories.
You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities if you expect to be in the data business long-term. In this paper, we'll share a framework we developed around monetizing data. We'll show you how to think beyond pure collection and storage, to move up the value chain and consider longer-term opportunities.
Managing And Processing Big Data In Cloud Computing
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Author : Kannan, Rajkumar
language : en
Publisher: IGI Global
Release Date : 2016-01-07
Managing And Processing Big Data In Cloud Computing written by Kannan, Rajkumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-07 with Computers categories.
Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution to this challenge is cloud computing, which supports a massive storage and computation facility in order to accommodate big data processing. Managing and Processing Big Data in Cloud Computing explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. Emphasizing a number of crucial topics such as data analytics, wireless networks, mobile clouds, and machine learning, this publication meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators in the areas of data science, computer programming, and IT development.