
The MapReduce framework provides Counters as an efficient mechanism for tracking the occurrences of global events within the map and reduces the phases of jobs. For example, a typical MapReduce […]

Conceptually, MapReduce jobs are relatively simple. In the map phase, each input record has a function applied to it, resulting in one or more key-value pairs. The reduce phase receives […]

MapReduce has a feature known as Hadoop Streaming that gives the flexibility to write code in your favorite language other than Java. You can use Ruby, Perl, Python or even quickly […]