Data locality in Hadoop is the concept of moving computation to large datasets (nodes) where it is stored instead of moving datasets to the computation or algorithm. Also, it helps in reducing overall network congestion and also improves the overall computation throughput of the system. For example, in Hadoop computation happens on data nodes where the data is stored.  If your organization ought to technique volumes of data, data locality can enhance processing and execution times, and decrease community traffic. That can suggest quicker selection making, responsive customer support and decreased costs.