This MapReduce tutorial will help you learn what is MapReduce, an analogy on MapReduce, the steps involved in MapReduce, how MapReduce performs parallel processing, MapReduce workflow, the architecture of MapReduce and a demo on MapReduce. MapReduce is a programming framework that processes data parallelly on multiple data nodes. You will understand how MapReduce accepts data in various formats, splits and records the data to generate input key-value pairs, uses mappers and combiners to generate intermediate key-value pairs and then uses shuffle, sort and reduce to generate the final output and stores it on HDFS. Finally, you will get hands-on expertise on how to run tasks using MapReduce. Now, let’s get started and learn MapReduce in detail.
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Below are explained in this MapReduce tutorial:
1. MapReduce Analogy (02:49)
2. What is Hadoop MapReduce? (04:46)
3. Parallel processing in MapReduce (10:31)
4. Hadoop MapReduce Workflow (11:05)
5. MapReduce Architecture (18:00)
6. Demo on MapReduce (20:41)
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