Certain aspects of the disclosure are directed to context aggregation in a data communications network. According to a specific example, user-data communications between a client-specific endpoint device and the other participating endpoint device during a first time period can be retrieved from a plurality of interconnected data communications systems. The client entity can be configured and arranged to interface with a data communications server providing data communications services on a subscription basis. A context can be determined for each respective user-data communication between the endpoint devices during the first time period. A plurality of user-data communications between the client-specific endpoint device and the other participating endpoint device can be aggregated during a second time period, and a context can be determined for the aggregated user-data communications during the second time period based on a comparison of the aggregated user-data communications and the user-data communications during the first time period.

A method for generating an electronic file associated with health care professionals (HCPs). The method includes receiving health information from a covered entity computing system and a file generation request from a user computing device. The method further includes matching HCP information with the health information and determining one or more statistical values based on at least one of the matched HCP information or the matched health information. The method further includes generating the electronic file including the one or more statistical values and at least a portion of the matched HCP information and providing the file to the destination address of the file generation request. The electronic file is generated as the file type identified by the file generation request, and is structured based on at least one of the file generation request or the file destination.

A search and data analysis collaboration system is described. The search and data analysis collaboration system enables users to search for and process stored data, and further includes a home page component that can help guide users embarking on data analyses; a discovery component that enables users to discover what data is available for search and analysis; a search component that enables users to efficiently search accessible data and to iterate on search queries and corresponding results; a workbooks component that enables users to create aggregated collections of data analysis artifacts; and an actions component that enables users to configure various actions to be performed in response to analyses.

A computer implemented system for an intelligent timeline includes computer readable instructions to operate a timeline engine, a logic extraction and application engine, a calendar engine, a performance evaluation engine, an advertisement placement engine, and a social networking engine that are interconnected to one another. The timeline engine creates a timeline of events containing external events and/or an owner's actions. Each event has a timestamp such that the events may be arranged in the order of timestamps. The logic extraction and application engine extracts the logical inferences from the events to be used by the timeline engine. The calendar engine creates a calendar containing the events and other reminders. The performance evaluation engine creates performance evaluation results of an owner's actions based on the events. The timeline of an owner may be sold or shared on the owner's social networking channel to subscribers. Advertisement placement engine facilitates advertisement transactions related to the timelines.

Techniques for improving system performance based on data characteristics are disclosed. A system may receive updates to a first data set at a first frequency. The system selects a first storage configuration, from a plurality of storage configurations, for storing the first data set based on the first frequency, and stores the first data set in accordance with the first storage configuration. The system may further receive updates to a second data set at a second frequency. The system selects a second storage configuration, from the plurality of storage configurations, for storing the second data set based on the second frequency, and stores the second data set in accordance with the second storage configuration. The second storage configuration is different than the first storage configuration.

In some embodiments of the present disclosure, techniques are utilized that allow answers to be provided to end users such as health care consumers, based on benefit book documents. The benefit book documents, which do not initially contain machine-readable structural or semantic information, are processed in order to detect structure and create semantic content based on the structure. This semantic content may then be added to a graph that represents the information contained in the benefit book document. A computing device may then use the nodes of this graph to answer questions received from consumers, where templates that provide answers to the questions reference the nodes of the graph.

An illustrative storage management appliance is interposed between client computing devices and one or more cloud storage resources. The appliance uses cloud storage resources in conjunction with a network attached storage device configured within the appliance to provide to the client computing devices seemingly unlimited network attached storage on respective network shares. The storage management appliance monitors data objects on the network shares and when a data object meets one or more criteria for archiving, the storage management appliance archives the data object to a cloud storage resource and replaces it with a stub and preview image on the network share. When access to the stub and/or preview image is detected, the storage management appliance restores the data object from the cloud storage resource. The criteria for archiving flexibly allow individual data objects to be archived to cloud storage without archiving frequently-accessed “neighboring” data objects on the same network share.

Systems and methods are disclosed for flexibly applying a query term to heterogeneous data. A query system can receive a query that includes a data-determinant query term. As the system executes the query it can generate interim search results. As the system query processes the interim search results based on the query, it can apply the data-determinant query term to records of the interims search results based on the structure of the records.

Media content search results ranked by popularity is described. In embodiment(s), a search request for television media content can be initiated by a viewer, and television media content that is relevant to the search request can be identified. The relevant television media content can then be ranked based on a popularity rating and the relevant television media content can be displayed in an ordered list that is ordered by popularity rankings.

Embodiments of systems and methods for the rules based distribution of managed content across heterogeneous storage distributed in a network environment are disclosed. In particular, certain embodiments may employ entity rules in association with a content management system. An entity rule may be a rule specifying a set of parameters and a destination secondary storage location. When the entity rule is evaluated by the content system, a set of content managed by the content management system responsive to the rule may be determined using the parameters of the rule. Responsive content can be determined, for example, by searching the content of the content management system based on the parameters. Responsive content may be moved from the primary storage location of the content management system to the secondary storage location specified by the entity rule.