Taming Big Data with MapReduce and Hadoop - Hands On!, Learn MapReduce fast by building over 10 real examples, using Python, MRJob, and Amazon's Elastic MapReduce Service.
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What you'll learn
- Understand how MapReduce can be used to analyze big data sets
- Write your own MapReduce jobs using Python and MRJob
- Run MapReduce jobs on Hadoop clusters using Amazon Elastic MapReduce
- Chain MapReduce jobs together to analyze more complex problems
- Analyze social network data using MapReduce
- Analyze movie ratings data using MapReduce and produce movie recommendations with it.
- Understand other Hadoop-based technologies, including Hive, Pig, and Spark
- Understand what Hadoop is for, and how it works
- Requirements
- You'll need a Windows system, and we'll walk you through downloading and installing a Python development environment and the tools you need as part of the course. If you're on Linux and already have a Python development environment in place that you're familiar with, that's OK too. Again, be sure you have at least some programming or scripting experience under your belt. You won't need to be a Python expert to succeed in this course, but you'll need the fundamental concepts of programming in order to pick up what we're doing.
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