Hadoop best practices: Single versus multiple instances

Customers in business intelligence and analytics are turning to data management platforms to handle expanding data sets, preventing bottlenecks in accessibility while maintaining high standards of data integrity. Nucleus has found that customers are strategizing as to how to cost effectively use data management resources, such as Hadoop, to eliminate the bottlenecks and reduce dependence on set data locations. In looking at customer experiences with big data, Nucleus found that customers achieved greater value from deploying and scaling Hadoop in one instance with all their data sets rather than deploying individual, disparate instances for each data set.