Abstract
Chapter 5 discussed the basics of MapReduce from the perspective of familiar SQL concepts. You learned how MapReduce can be used to solve familiar problems. You also learned how data is read from input files, processed in the Mappers, routed to the Reducers using a Partitioner, and finally processed in the Reducer and written to output files in the HDFS.
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© 2014 Sameer Wadkar and Madhu Siddalingaiah
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Wadkar, S., Siddalingaiah, M. (2014). Advanced MapReduce Development. In: Pro Apache Hadoop. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4302-4864-4_6
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DOI: https://doi.org/10.1007/978-1-4302-4864-4_6
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4302-4863-7
Online ISBN: 978-1-4302-4864-4
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