The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

A method implements a dashboard runtime that comprises a custom visualization component to render a visual representation of a data items of one or more queried datasets in a GUI; at least one query associated with at least the custom component; and an API to provide communication between the custom component and the at least one query. The API detects a user interaction with of a portion of the custom component via a first message that informs the dashboard runtime of the detected user interaction; passes a second message to the at least one query instructing the at least one query to rerun to receive an updated query dataset; and passes the updated dataset via a third message to the custom component and to any other components associated with the at least one query, such that the custom component and the other components automatically render updated visual representations of the updated dataset.

A method implements a dashboard runtime that comprises a custom visualization component to render a visual representation of a data items of one or more queried datasets in a GUI; at least one query associated with at least the custom component; and an API to provide communication between the custom component and the at least one query. The API detects a user interaction with of a portion of the custom component via a first message that informs the dashboard runtime of the detected user interaction; passes a second message to the at least one query instructing the at least one query to rerun to receive an updated query dataset; and passes the updated dataset via a third message to the custom component and to any other components associated with the at least one query, such that the custom component and the other components automatically render updated visual representations of the updated dataset.

Systems and methods are provided for dynamic configuration of interactive controls available on a dashboard. Interactive controls may be dynamically configured by manipulating network resource address information for a network resource that provides a dashboard, for example using query string parameters. For example, a dashboard that displays one type, source, or summary of information can be dynamically configured to allow interactive selection and display of another type, source, or summary of information depending on values passed in the network resource address information for the dashboard network resource.

Data analytics systems and methods are disclosed herein. A parser can parse reference data from various data sources to store in a data structure. An uploader can receive study data designated by a researcher and store the study data in the data structure. A matcher can compare analyte nameset data in the study data with analyte nameset data from the reference data to generate one or more links each correlating an instance of an analyte in the study data with an instance of that analyte in the reference data. Library overlays each include one or more modules to access reference data to generate organized associations of reference data. A calculation engine can receive a selection of one or more library overlay(s) and manipulate the reference data and study data according to the organized associations of the selected library overlay(s) to generate configured data stored in a collection of data caches for presentation to a researcher via a user interface.

Provided are methods, systems, and computer readable media for user interaction with database methods and systems. In an aspect, a user interface can be generated to permit dynamic display generation to view data. The system can comprise a visualization component to dynamically generate one or more visual representations of the data to present in the state space.

Provided are methods, systems, and computer readable media for user interaction with database methods and systems. In an aspect, a user interface can be generated to permit dynamic display generation to view data. The system can comprise a visualization component to dynamically generate one or more visual representations of the data to present in the state space.

A computer system receives a data stream with a plurality of packets. In response to receiving the data stream with the plurality of packets, the computer system distributes individual packets of the plurality of packets to the inputs of each of a plurality of processing nodes. Each respective processing node has a local queue storing a respective number of packets to be processed by the respective processing node. Distributing a respective packet of the plurality of packets to the inputs of each of the plurality of processing nodes includes delaying sending the respective packet to each of the plurality of processing nodes by a delay time that is a non-linear function of an average number of packets in the local queues of the respective processing nodes.

A computer system receives a data stream with a plurality of packets. In response to receiving the data stream with the plurality of packets, the computer system distributes individual packets of the plurality of packets to the inputs of each of a plurality of processing nodes. Each respective processing node has a local queue storing a respective number of packets to be processed by the respective processing node. Distributing a respective packet of the plurality of packets to the inputs of each of the plurality of processing nodes includes delaying sending the respective packet to each of the plurality of processing nodes by a delay time that is a non-linear function of an average number of packets in the local queues of the respective processing nodes.