<p>Learn how to configure your Hadoop cluster to run optimal MapReduce jobs</p> <p><b>Overview</b></p> <ul> <li>Optimize your MapReduce job performance</li> <li>Identify your Hadoop cluster's weaknesses</li> <li>Tune your MapReduce configuration</li> </ul> <p><b>In Detail</b></p> <p>MapReduce is the
Optimizing Hadoop for MapReduce
โ Scribed by Khaled Tannir
- Publisher
- Packt Publishing
- Year
- 2014
- Tongue
- English
- Leaves
- 120
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
MapReduce is the distribution system that the Hadoop MapReduce engine uses to distribute work around a cluster by working parallel on smaller data sets. It is useful in a wide range of applications, including distributed pattern-based searching, distributed sorting, web link-graph reversal, term-vector per host, web access log stats, inverted index construction, document clustering, machine learning, and statistical machine translation.
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