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Can I read Big Data for Chimps : a Guide to Massive-scale Data Processing in Practice on EtoBox?
Big Data for Chimps : a Guide to Massive-scale Data Processing in Practice by Jurney, Russell;Kromer, Philip is a nonfiction available to read on EtoBox.
What is Big Data for Chimps : a Guide to Massive-scale Data Processing in Practice about?
Finding patterns in massive event streams can be difficult, but learning how to find them doesn{u2019}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{u2019}ll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book{u2019}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{u2019}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{u2014}baseball performance statistics{u2014}throughout the book Work with examples of several analytic patterns, and learn when and where you might use the
Who reads Big Data for Chimps : a Guide to Massive-scale Data Processing in Practice?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Jurney, Russell;Kromer, Philip
- Publisher
- O'Reilly Media, Incorporated
- Published
- 2016
- Language
- EN
- ISBN
- 9781491923924
- Category
- nonfiction
- Subjects
- Computer Science, Business, Databases
Other editions & translations
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