Hadoop, MapReduce, and HDFS

As discussed in the previous sections, the rapidly increasing data storage, analysis, and process requirements are in the necessity of mining the essential information for business needs from such huge volume of data in storage clusters and data-intensive applications. Scalability, high availability, fault tolerance, data distribution, parallel processing, and load balancing are the expected features of such a system.

These features of big data are addressed by the MapReduce program introduced by Google.

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