1. A system, comprising: a processor and a memory; an application manager running on the processor that identifies resources used by an application for big data running on a cluster and provides MapReduce attempt success and failure totals for a workload; a workflow manager running on the processor that identifies problems with the application by providing a status of how each workflow is performing against a service level agreement; a deep events application running on the processor that provides root-cause analysis and solutions for application problems and system-level problems; a live alerts application running on the processor that provides alerts on the application, each workflow, users, tables, and queues; an information tag application running on the processor that tags the application, each workflow, the tables, the users, and entities; an entity search application running on the processor that indexes and associates cluster activity with the application, each workflow, the tables, the users, the queues, machines, and the entities; and a planner running on the processor that simulates execution of the workload to identify a cheapest and a fastest infrastructure for the workload.
10. The system of claim 1 , further comprising a pattern analyzer running on the processor that identifies important tables and columns in the workload.