How can I develop and execute a Map Reduce on Hadoop?

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To process the huge volume of data in Hadoop cluster MapReduce framework is used. MapReduce is a framework which is written in Java. To get meaningful information from the data you have to write code in terms of map and reduce logic. Map phase performed parallelly on different nodes where as reduce phase...
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To process the huge volume of data in Hadoop cluster MapReduce framework is used. MapReduce is a framework which is written in Java. To get meaningful information from the data you have to write code in terms of map and reduce logic. Map phase performed parallelly on different nodes where as reduce phase aggregates the output from different map phase. Map and Reduce phase is driven by the Driver code. MapReduce code can be written in Java, C++, Ruby, and Python. I am a Hortonworks certified Hadoop Developer. http://bcert.me/swfssczm read less
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Which Hadoop course should I take?
Take apache spark and scala course . Spark is high on demand now and one of the highly efficient and heavily used bigdata tools in market.I do provide Apache spark with scala and python course . You can reach me out for more details
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It seems to be catching up. However the general figures are low.
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Can anyone suggest about Hadoop?
Hadoop is good but it depends on your experience. If you don't know basic java, linux, shell scripting. Hadoop is not beneficial for you.
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