Abstract: Presented herein are systems and methods for generating data structures for data structures for events detected across data sources in network environments. A computing system may maintain, on a data repository, a profile for a subject at risk of or diagnosed with cancer. The profile may identify a plurality of event identifiers for a corresponding plurality of events associated with administration of radiotherapy to the subject. The computing system may apply a prompt based on a request and at least a portion of the profile to a generative machine learning (ML) model. The computing system may generate, based on applying the prompt to the generative ML model, a data structure comprising (i) a plurality of nodes corresponding to the respective plurality of event identifiers and (ii) a plurality of edges each defining a relationship between a corresponding pair of the plurality of nodes.

Abstract: A method, a processing device and a computer program product are provided. Based on parameters pertaining to a data source, a first processing device may determine whether a data source is a known data source. If the data source is determined to be the known data source, then the first processing device sends respective configuration information to multiple processing devices. The respective configuration information being based on configuration information from a previous integration and configuring the multiple processing devices as an operational data pipeline to extract data from the known data source, transform the extracted data to a first data model employed by a data system, and load the transformed data into the data system.

Abstract: A method, a processing device and a computer program product are provided. Based on parameters pertaining to a data source, a first processing device may determine whether a data source is a known data source. If the data source is determined to be the known data source, then the first processing device sends respective configuration information to multiple processing devices. The respective configuration information being based on configuration information from a previous integration and configuring the multiple processing devices as an operational data pipeline to extract data from the known data source, transform the extracted data to a first data model employed by a data system, and load the transformed data into the data system.

Abstract: A system processes streaming data and includes at least one processor. The system may write streaming data received from a data source as messages in queues at a queuing cluster. The queuing cluster includes a coordinator node to direct the messages to non-coordinator nodes of the queuing cluster. The system may retrieve the data from the queues based on subscription of topics and store the retrieved data in a consumable repository.

Abstract: A system processes streaming data and includes at least one processor. The system may write streaming data received from a data source as messages in queues at a queuing cluster. The queuing cluster includes a coordinator node to direct the messages to non-coordinator nodes of the queuing cluster. The system may retrieve the data from the queues based on subscription of topics and store the retrieved data in a consumable repository.

Abstract: A system processes streaming data and includes at least one processor. The system may write streaming data received from a data source as messages in queues at a queuing cluster. The queuing cluster includes a coordinator node to direct the messages to non-coordinator nodes of the queuing cluster. The system may retrieve the data from the queues based on subscription of topics and store the retrieved data in a consumable repository.

Abstract: A system processes streaming data and includes at least one processor. The system may write streaming data received from a data source as messages in queues at a queuing cluster. The queuing cluster includes a coordinator node to direct the messages to non-coordinator nodes of the queuing cluster. The system may retrieve the data from the queues based on subscription of topics and store the retrieved data in a consumable repository.

Abstract: A system processes streaming data and includes at least one processor. The system may write streaming data received from a data source as messages in queues at a queuing cluster. The queuing cluster includes a coordinator node to direct the messages to non-coordinator nodes of the queuing cluster. The system may retrieve the data from the queues based on subscription of topics and store the retrieved data in a consumable repository.

Abstract: A method, a processing device and a computer program product are provided. Based on parameters pertaining to a data source, a first processing device may determine whether a data source is a known data source. If the data source is determined to be the known data source, then the first processing device sends respective configuration information to multiple processing devices. The respective configuration information being based on configuration information from a previous integration and configuring the multiple processing devices as an operational data pipeline to extract data from the known data source, transform the extracted data to a first data model employed by a data system, and load the transformed data into the data system.

Abstract: A method, a processing device and a computer program product are provided. Based on parameters pertaining to a data source, a first processing device may determine whether a data source is a known data source. If the data source is determined to be the known data source, then the first processing device sends respective configuration information to multiple processing devices. The respective configuration information being based on configuration information from a previous integration and configuring the multiple processing devices as an operational data pipeline to extract data from the known data source, transform the extracted data to a first data model employed by a data system, and load the transformed data into the data system.

Abstract: A system processes streaming data and includes at least one processor. The system may write streaming data received from a data source as messages in queues at a queuing cluster. The queuing cluster includes a coordinator node to direct the messages to non-coordinator nodes of the queuing cluster. The system may retrieve the data from the queues based on subscription of topics and store the retrieved data in a consumable repository.