Abstract: System(s) and method(s) for processing one or more real time data streams captured in a distributed computing environment. In accordance with the system(s) and method(s), a GUI may be provided that enables a user to design a GUI pipeline comprising multiple sub-systems executing logic associated with a plurality of applications. Each of the sub-systems in the pipeline may be configured with different parameters by the user using the GUI. Further, the user may configure to integrate the multiple sub-systems through the GUI. Further, the user may control and/or update the configuration of the logic, configuration of the parameters, and the integration of the multiple sub-systems through the GUI. The updating of the configuration is automatically notified to the running pipeline in real time. Further, the GUT facilitates to monitor performance of the running pipeline in real time.

Abstract: A system and method for facilitating reusability of distributed computing pipelines, initially, captures the distributed computing pipeline designed over a Graphical User Interface (GUI) of a first data processing environment associated with a stream analytics platform. Subsequent to the designing, the distributed computing pipeline may be stored in a repository. The distributed computing pipeline may be stored in a file with a predefined file format pertaining to the stream analytics platform. The system also maintains a repository of different versions of the distributed computing pipeline created by the first and second user. Upon storing the file, the file may be imported in a second data processing environment. After importing the file, the distributed computing pipeline may be populated over the GUI of the second data processing environment, thereby facilitating reusability of the distributed computing pipeline.

Abstract: A system and method for visualizing and updating a data analytics model using Graphical User Interface (GUI) is disclosed. The system is configured to receive an input file, from a user, storing a data analytics model. Based upon the input file, the system identifies the standard template, from a set of template, corresponding to a data analytics module of the input file. Further, the system is configured to display a graphical representation corresponding to the data analytics model based upon the standard template of the data analytics model, wherein the graphical representation comprises a set of elements corresponding to the data analytics model. Further, the system enables editing one or more elements from the set of elements of the graphical representation. Upon modification of the elements of graphical representation, the system enables updating the input file, thereby update the data analytics model using the GUI.

Abstract: The present disclosure relates to system(s) and method(s) for allocating and reserving one or more supervisors, to be used by a data processing pipeline associated with a tenant, of a real-time distributed processing platform, is disclosed. The system is configured to identify a set of supervisors corresponding to a set of computing machines of a real-time distributed processing platform. One the set of supervisors is identified, the system enables a primary user to assign a subset of supervisors from the set of supervisors to a tenant. Further, the enables a secondary user, corresponding to the tenant, to design a set of data processing pipelines in a workspace. Further, the system further enables assigning one or more supervisors from the subset of supervisors to each data processing pipeline from the set of data processing pipelines based on the inputs received from the secondary user.

Abstract: The present disclosure relates to system(s) and method(s) for registration of a custom component on a Stream Analytics Platform. The system is configured to receive a program file and one or more registration instructions corresponding to the custom component, from a primary user of the Stream Analytics Platform. Further, a program code may be extracted from the program file by parsing the program file. Further, the system is configured to register the program code as a registered custom component, on the Stream Analytics Platform based on the one or more registration instructions. Once registered, the registered custom component is available over a Graphical User Interface (GUI) of the Stream Analytics Platform. The system enables at least the primary user or a set of secondary users of the Stream Analytics platform to use the registered custom component, based on the one or more registration instructions, for designing a distributed processing pipeline.