Map Reduce Programming and Exercises

Very good references links :

Hadoop Definitive Guide :

http://javaarm.com/file/apache/Hadoop/books/Hadoop-The.Definitive.Guide_4.edition_a_Tom.White_April-2015.pdf

Good examples on  word count :

https://dzone.com/articles/word-count-hello-word-program-in-mapreduce

Hadoop operations :

https://data-flair.training/blogs/hadoop-hdfs-data-read-and-write-operations/


Orielly presentation

assets.en.oreilly.com/1/event/75/Introduction%20to%20Apache%20Hadoop%20Presentation.pdf



Topics:

·         About MapReduce and  Understanding block and input splits

·          MapReduce Data types

·          Understanding Writable

·          Data Flow in MapReduce Application

·          Understanding MapReduce problem on datasets

·          MapReduce and Functional Programming

·          Writing MapReduce Application

·          Understanding Mapper function

·          Understanding Reducer Function

·          Understanding Driver

·          Usage of Combiner

·          Understanding Partitioner

·          Usage of Distributed Cache

·          Passing the parameters to mapper and reducer

·          Analysing the Results

·          Log files

·          Input Formats and Output Formats

·          Counters, Skipping Bad and unwanted Records

·          Writing Join’s in MapReduce with 2 Input files. Join Types.

·          Execute MapReduce Job – Insights.

·          Exercise’s on MapReduce.

·          Job Scheduling: Type of Schedulers.

From 1  to  5  one split
       From  6  to  9 another split.