Your browser is out of date!

Update your browser to view this website correctly. Update my browser now

×

An open, integrated, unified approach to data systems around a central data hub allows each to share more easily among the others for analyses that span formats, structures, and lines of business. Hadoop helps serve up more data than previously possible and for a much wider variety of business objectives while offsetting the overload more specialized architectures encounter as data volumes explode and new users, workloads, and applications are introduced. Over time, the ability to bring more users to where the data lives also drives up data quality because there is less need for duplication and transformation, which prohibit analytical consistency and alter the original data such that important information can be irretrievably lost. When the data and workload mix accommodate a multi-tenant environment, IT teams need to address three critical facets:  Security and governance Resource isolation and management Chargeback and showback capabilities