Abstract: Regulating enterprise database warehouse resource usage can include identifying a number of queries in an enterprise database warehouse (EDW) and regulating EDW resource usage among the number of queries.

Abstract: Regulating enterprise database warehouse resource usage can include identifying a number of queries in an enterprise database warehouse (EDW) and regulating EDW resource usage among the number of queries.

Abstract: A workload management service component of a parallel database-management system monitors usage of computational resources in the parallel database-management system. The component provides a query-processing-task-management interface and a query-execution engine. The engine receives query-processing requests associated with one of a number of services from host computers, and accesses the workload-management-services component to determine whether to immediately launch execution of query-processing tasks corresponding to the received query-processing requests. Alternatively, the engine accesses the component to place the query-processing requests on wait queues for subsequent execution. The determination is based on the current usage of computational resources within the parallel database-management system.

Abstract: A database management system that can comprise a memory for storing computer executable instructions and a processing unit for accessing the memory and executing the computer executable instructions. The computer executable instruction scan comprise a compiler to hold a query received at a query input, thereby preventing the query from executing based on a cost comparison between an estimated resource execution cost of a query plan for the query and cost rules.

Abstract: Some embodiments relate to mobile application management. An example embodiment includes a method of mobile device management. The method includes installing a client-side engine of an enforcement engine on a mobile device. The enforcement engine further includes a runtime engine. The method also includes routing communications between the mobile device and a network/cloud or an enterprise network through the enforcement engine. In addition, the method includes generating a policy regarding the mobile applications from a signature database (“SigDB”). The SigDB includes signatures pertaining to mobile applications. Compliance of the mobile device with the policy is enforced in real time.

Abstract: Some embodiments relate to mobile application management. An example embodiment includes a method of mobile device management. The method includes installing a client-side engine of an enforcement engine on a mobile device. The enforcement engine further includes a runtime engine. The method also includes routing communications between the mobile device and a network/cloud or an enterprise network through the enforcement engine. In addition, the method includes generating a policy regarding the mobile applications from a signature database (“SigDB”). The SigDB includes signatures pertaining to mobile applications. Compliance of the mobile device with the policy is enforced in real time.

Abstract: One example discloses a database management system that can comprise a memory for storing computer executable instructions and a processing unit for accessing the memory and executing the computer executable instructions. The computer executable instructions can comprise a compiler to hold a query received at a query input, thereby preventing the query from executing based on a cost comparison between an estimated resource execution cost of a query plan for the query and cost rules.

Abstract: Embodiments of the present invention are directed to a workload management service component of a parallel database-management system that monitors usage of computational resources in the parallel database-management system and that provides a query-processing-task-management interface and a query-execution engine that receives query-processing requests associated with one of a number of services from host computers and accesses the workload-management-services component to determine whether to immediately launch execution of query-processing tasks corresponding to the received query-processing requests or to place the query-processing requests on wait queues for subsequent execution based on the current usage of computational resources within the parallel database-management system.