Abstract: The disclosure describes temporal optimization of data operations using distributed search and server management, including configuring one or more host groups, determining one or more stripes associated with one or more shards distributed among the one or more host groups, receiving a query to retrieve data, evaluating the query to identify a time characteristic associated with the data, identifying a location from which to retrieve the data, and rewriting the query to run on at least one of the one or more host groups at the location using a distributed search platform, the another query being targeted at a host group associated with the class.

Abstract: Various techniques for temporal optimization of data operations using distributed search and server management are described, including configuring a host group using a manifest file, receiving a data file at a platform using an application programming interface, parsing the data file to generate a processed data file, the processed data file having a time characteristic associated with the data file, storing the data file at a location by comparing the time characteristic to the time range to determine the class, the server type, and the server on which to store the data file, reconciling the host group to determine whether the data file has changed, and modifying the data file by performing a data operation on the data file if the reconciling indicates the data file has changed.

Abstract: The disclosure describes temporal optimization of data operations using distributed search and server management, including configuring one or more host groups, determining one or more stripes associated with one or more shards distributed among the one or more host groups, receiving a query to retrieve data, evaluating the query to identify a time characteristic associated with the data, identifying a location from which to retrieve the data, and rewriting the query to run on at least one of the one or more host groups at the location using a distributed search platform, the another query being targeted at a host group associated with the class.

Abstract: Various techniques for temporal optimization of data operations using distributed search and server management are described, including configuring a host group using a manifest file, receiving a data file at a platform using an application programming interface, parsing the data file to generate a processed data file, the processed data file having a time characteristic associated with the data file, storing the data file at a location by comparing the time characteristic to the time range to determine the class, the server type, and the server on which to store the data file, reconciling the host group to determine whether the data file has changed, and modifying the data file by performing a data operation on the data file if the reconciling indicates the data file has changed.

Abstract: The disclosure describes temporal optimization of data operations using distributed search and server management, including configuring one or more host groups, determining one or more stripes associated with one or more shards distributed among the one or more host groups, receiving a query to retrieve data, evaluating the query to identify a time characteristic associated with the data, identifying a location from which to retrieve the data, and rewriting the query to run on at least one of the one or more host groups at the location using a distributed search platform, the another query being targeted at a host group associated with the class.

Abstract: Various techniques for temporal optimization of data operations using distributed search and server management are described, including configuring a host group using a manifest file, receiving a data file at a platform using an application programming interface, parsing the data file to generate a processed data file, the processed data file having a time characteristic associated with the data file, storing the data file at a location by comparing the time characteristic to the time range to determine the class, the server type, and the server on which to store the data file, reconciling the host group to determine whether the data file has changed, and modifying the data file by performing a data operation on the data file if the reconciling indicates the data file has changed.

Abstract: Various techniques for temporal optimization of data operations using distributed search and server management are described, including configuring a host group using a manifest file, receiving a data file at a platform using an application programming interface, parsing the data file to generate a processed data file, the processed data file having a time characteristic associated with the data file, storing the data file at a location by comparing the time characteristic to the time range to determine the class, the server type, and the server on which to store the data file, reconciling the host group to determine whether the data file has changed, and modifying the data file by performing a data operation on the data file if the reconciling indicates the data file has changed.

Abstract: The disclosure describes temporal optimization of data operations using distributed search and server management, including configuring one or more host groups, determining one or more stripes associated with one or more shards distributed among the one or more host groups, receiving a query to retrieve data, evaluating the query to identify a time characteristic associated with the data, identifying a location from which to retrieve the data, and rewriting the query to run on at least one of the one or more host groups at the location using a distributed search platform, the another query being targeted at a host group associated with the class.

Abstract: Various techniques for temporal optimization of data operations using distributed search and server management are described, including configuring a host group using a manifest file, receiving a data file at a platform using an application programming interface, parsing the data file to generate a processed data file, the processed data file having a time characteristic associated with the data file, storing the data file at a location by comparing the time characteristic to the time range to determine the class, the server type, and the server on which to store the data file, reconciling the host group to determine whether the data file has changed, and modifying the data file by performing a data operation on the data file if the reconciling indicates the data file has changed.

Abstract: The disclosure describes temporal optimization of data operations using distributed search and server management, including configuring one or more host groups, determining one or more stripes associated with one or more shards distributed among the one or more host groups, receiving a query to retrieve data, evaluating the query to identify a time characteristic associated with the data, identifying a location from which to retrieve the data, and rewriting the query to run on at least one of the one or more host groups at the location using a distributed search platform, the another query being targeted at a host group associated with the class.

Abstract: Various techniques for temporal optimization of data operations using distributed search and server management are described, including configuring a host group using a manifest file, receiving a data file at a platform using an application programming interface, parsing the data file to generate a processed data file, the processed data file having a time characteristic associated with the data file, storing the data file at a location by comparing the time characteristic to the time range to determine the class, the server type, and the server on which to store the data file, reconciling the host group to determine whether the data file has changed, and modifying the data file by performing a data operation on the data file if the reconciling indicates the data file has changed.

Abstract: Various techniques for temporal optimization of data operations using distributed search and server management are described, including configuring a host group using a manifest file, receiving a data file at a platform using an application programming interface, parsing the data file to generate a processed data file, the processed data file having a time characteristic associated with the data file, storing the data file at a location by comparing the time characteristic to the time range to determine the class, the server type, and the server on which to store the data file, reconciling the host group to determine whether the data file has changed, and modifying the data file by performing a data operation on the data file if the reconciling indicates the data file has changed.

Abstract: Various techniques for temporal optimization of data operations using distributed search and server management are described, including configuring one or more host groups, determining one or more stripes associated with one or more shards distributed among the one or more host groups, receiving a query to retrieve data, evaluating the query to identify a time characteristic associated with the data, identifying a location from which to retrieve the data, and rewriting the query to run on at least one of the one or more host groups at the location using a distributed search platform, the another query being targeted at a host group associated with the class.

Abstract: Various techniques for temporal optimization of data operations using distributed search and server management are described, including configuring a host group using a manifest file, receiving a data file at a platform using an application programming interface, parsing the data file to generate a processed data file, the processed data file having a time characteristic associated with the data file, storing the data file at a location by comparing the time characteristic to the time range to determine the class, the server type, and the server on which to store the data file, reconciling the host group to determine whether the data file has changed, and modifying the data file by performing a data operation on the data file if the reconciling indicates the data file has changed.

Abstract: Embodiments of systems and methods for linking a computer device to a session that is being conducted on another computing device are disclosed. A content-generation session may be conducted by a user on a particular computing device. As part of the content-generation session, the user may request to add other content, which may be located on a different computing device, to content being authored during the content-generation session. Information to allow the different computing device to establish a link to the content-generation session may be generated. Using that information, a link may be automatically established between the different computing device and the content-generation session, such that the other content residing on the different computing device can be associated with the content-generation session.

Abstract: Embodiments of systems and methods for linking a computer device to a session that is being conducted on another computing device are disclosed. A content-generation session may be conducted by a user on a particular computing device. As part of the content-generation session, the user may request to add other content, which may be located on a different computing device, to content being authored during the content-generation session. Information to allow the different computing device to establish a link to the content-generation session may be generated. Using that information, a link may be automatically established between the different computing device and the content-generation session, such that the other content residing on the different computing device can be associated with the content-generation session.