Abstract: In certain embodiments, queries may be facilitated via request-prediction-based temporary storage of query results. In some embodiments, a request for query results may be predicted, and, in response, a subset of results may be obtained. The subset of results may be a portion of a set of results that would have been obtained to respond to the request had the request been obtained from a client device. The subset of results may be caused to be stored in temporary data storage, and no storage of other subsets of the set of results in the temporary data storage occurs from the request prediction. The request may be obtained from the client device subsequent to the storage. Based on the obtained request, the subset of results may be obtained from the temporary data storage, and the other subsets of the set of results may be obtained via at least another data source.

Abstract: In some embodiments, data related to calculating a set of values may be obtained. The set of values may be approximated based on a subset of the related data. The approximated values may be stored at a first data storage and a second data storage that corresponds to a landing zone (via which a client device obtains at least some of the approximated values). The approximated values stored at the first data storage may be continuously updated based on further subsets of the related data such that the approximated values stored at the first data storage is updated at least a first number of times within a first time period. The approximated values stored at the second data storage may be continuously updated such that the approximated values stored at the second data storage is updated less than the first number of times within the first time period.

Abstract: In some embodiments, data related to calculating a set of values may be obtained. The set of values may be approximated based on a subset of the related data. The approximated values may be stored at a first data storage and a second data storage that corresponds to a landing zone (via which a client device obtains at least some of the approximated values). The approximated values stored at the first data storage may be continuously updated based on further subsets of the related data such that the approximated values stored at the first data storage is updated at least a first number of times within a first time period. The approximated values stored at the second data storage may be continuously updated such that the approximated values stored at the second data storage is updated less than the first number of times within the first time period.

Abstract: In certain embodiments, queries may be facilitated via request-prediction-based temporary storage of query results. In some embodiments, a request for query results may be predicted. Queries for at least some of the query results may be predicted responsive to the request prediction, where the performed queries are a subset of a set of queries that would have been performed to respond to the request had the request been obtained from a client device, and no performance of one or more other queries of the set of queries occurs from the request prediction. Results may be obtained based on the performed queries and caused to be stored in temporary data storage. The request may be obtained from the client device subsequent to the storage of the results. The results may be obtained from the temporary data storage based on the request from the client device.

Abstract: In certain embodiments, queries may be facilitated via request-prediction-based temporary storage of query results. In some embodiments, a request for query results may be predicted. Responsive to the request prediction, queries for data related to calculating a set of values may be performed. A subset of the related data may be obtained based on the performed queries. The performance of the queries may be caused to stop prior to obtaining other subsets of the related data. The set of values may be predicted based on the subset of the related data. The predicted set of values may be caused to be stored in temporary data storage. The request may be obtained from a client device subsequent to the storage of the predicted set of values. The predicted set of values may be obtained from the temporary data storage based on the request from the client device.

Abstract: In certain embodiments, load reduction at a landing zone may be facilitated. In some embodiments, a request related to a client-initiated query may be predicted. A second landing zone may be assigned to handle responding to the query-related request, where the second landing zone is different from a first landing zone at which the query-related request is subsequently obtained. Responsive to obtaining the query-related request at the first landing zone from a client device, cause, based on the assignment to the second landing zone, the client device to redirect the query-related request to the second landing zone. The client device may be caused to redirect the query-related request such that the client device transmits the query-related request and subsequent requests for an update related to the client-initiated query to the second landing zone without first transmitting the subsequent requests to the first landing zone.

Abstract: Systems and methods of prioritizing retrieval and/or processing of data related to a subset of attributes based on a prediction of associated values are presented herein. In certain implementations, a request for values associated with respective first attributes may be received. Based on the request, first queries for data related to the first attributes may be performed. Based on the first queries, a first subset of data related to calculating at least some of the associated values may be received. At least some of the associated values may be predicted based on the first subset of data. Based on the prediction of the associated values, retrieval and/or processing of data related to a first subset of the first attributes may be prioritized over retrieval and/or processing of data related to one or more other subsets of the first attributes.

Abstract: Systems and methods of prioritizing retrieval and/or processing of data related to a subset of attributes based on a prediction of associated values are presented herein. In certain implementations, a request for values associated with respective first attributes may be received. Based on the request, first queries for data related to the first attributes may be performed. Based on the first queries, a first subset of data related to calculating at least some of the associated values may be received. At least some of the associated values may be predicted based on the first subset of data. Based on the prediction of the associated values, retrieval and/or processing of data related to a first subset of the first attributes may be prioritized over retrieval and/or processing of data related to one or more other subsets of the first attributes.

Abstract: Systems and methods of prioritizing retrieval and/or processing of data related to a subset of attributes based on a prediction of associated values are presented herein. In certain implementations, a request for values associated with respective first attributes may be received. Based on the request, first queries for data related to the first attributes may be performed. Based on the first queries, a first subset of data related to calculating at least some of the associated values may be received. At least some of the associated values may be predicted based on the first subset of data. Based on the prediction of the associated values, retrieval and/or processing of data related to a first subset of the first attributes may be prioritized over retrieval and/or processing of data related to one or more other subsets of the first attributes.