Abstract: Data flow node validation and provisioning techniques are described. In one or more implementations, a system is described that supports visual design and deployment of data flow pipelines to process streaming data flows. The system may be configured to include nodes and connections between the nodes to represent an arbitrary execution graph of data science algorithms (as algorithm action components) that are used to process the streaming data flows. The system may also support validation techniques to verify that the data flow pipeline may operate as intended. Further, the system may also support implementation and provisioning techniques that involve estimation and adjustment of runtime resource provisioning of a deployed data flow pipeline without preemption or starvation occurring for nodes within the pipeline.

Abstract: A digital medium environment is described to control provision of digital content within a physical environment to a mobile device associated with a user. User identification data and position data are received. The position data describes a physical location at which the mobile device is disposed within the physical environment. A user profile is selected based on the user identification data. The user profile describes user online interaction with digital content. Digital content is generated that is personalized based on the selected user profile and the position data. Output is then controlled of the generated digital content to the mobile device.

Abstract: Data flow node validation and provisioning techniques are described. In one or more implementations, a system is described that supports visual design and deployment of data flow pipelines to process streaming data flows. The system may be configured to include nodes and connections between the nodes to represent an arbitrary execution graph of data science algorithms (as algorithm action components) that are used to process the streaming data flows. The system may also support validation techniques to verify that the data flow pipeline may operate as intended. Further, the system may also support implementation and provisioning techniques that involve estimation and adjustment of runtime resource provisioning of a deployed data flow pipeline without preemption or starvation occurring for nodes within the pipeline.

Abstract: Data flow node validation and provisioning techniques are described. In one or more implementations, a system is described that supports visual design and deployment of data flow pipelines to process streaming data flows. The system may be configured to include nodes and connections between the nodes to represent an arbitrary execution graph of data science algorithms (as algorithm action components) that are used to process the streaming data flows. The system may also support validation techniques to verify that the data flow pipeline may operate as intended. Further, the system may also support implementation and provisioning techniques that involve estimation and adjustment of runtime resource provisioning of a deployed data flow pipeline without preemption or starvation occurring for nodes within the pipeline.

Abstract: Data flow node validation and provisioning techniques are described. In one or more implementations, a system is described that supports visual design and deployment of data flow pipelines to process streaming data flows. The system may be configured to include nodes and connections between the nodes to represent an arbitrary execution graph of data science algorithms (as algorithm action components) that are used to process the streaming data flows. The system may also support validation techniques to verify that the data flow pipeline may operate as intended. Further, the system may also support implementation and provisioning techniques that involve estimation and adjustment of runtime resource provisioning of a deployed data flow pipeline without preemption or starvation occurring for nodes within the pipeline.

Abstract: A system and method are described for provisioning and managing virtual instances of a computing application running within a public virtualization space (referred to as a hosted service system). A hosted service system may be configured to provide automated administration of the computing application, replacing the administration tasks that would otherwise be performed by the customer when running in an on-premise production deployment and to provide encrypted networking and other services that are specific to the public virtualization environment and are designed to provide a secure integration fabric between a customer's own private data center and virtual instances of the computing application running within an insecure public virtualization service.