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MapReduce Types and Formats and Setting up a Hadoop Cluster?
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How data is spilt in Hadoop?
Explain the features of Apache Spark because of which it is superior to Apache MapReduce?
what are the most common input formats defined in Hadoop?
If reducers do not start before all mappers finish then why does the progress on mapreduce job shows something like map(50%) reduce(10%)? Why reducers progress percentage is displayed when mapper is not finished yet?
What is identity mapper and identity reducer?
How is mapreduce related to cloud computing?
Why MapReduce uses the key-value pair to process the data?
How to specify more than one directory as input to the MapReduce Job?
Mention what is the next step after mapper or maptask?
How does MapReduce framework view its input internally?
How can you add the arbitrary key-value pairs in your mapper?
How to specify more than one directory as input in the Hadoop MapReduce Program?
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