Abstract: A method for recommending a computer hardware configuration, including: receiving, by a processor, a machine-readable specification of a computing task; extracting, by the processor, a plurality of features from the machine-readable specification of the computing task; supplying, by the processor, the plurality of features to a reinforcement learning model to generate a proposed computer hardware configuration to execute the computing task; and providing, by the processor, the proposed computer hardware configuration to a user.

Abstract: Estimating and applying effective regression techniques for datasets. The system first applies each of multiple regression techniques to each of multiple reference datasets, and determines a corresponding machine-learning metric for each regression techniques applied to each reference datasets. For each reference datasets, the system uses the determined machine-learning metric to estimate one or more effective regression techniques for execution of the corresponding reference datasets and records the estimated optimal regression techniques and the corresponding reference dataset. A user dataset is compared to at least some of the reference datasets to identify a reference dataset that has an acceptably similar probability distribution to the user dataset. At least one of the optimal regression techniques corresponding to the found reference dataset is retrieved and applied to the user dataset.

Abstract: Methods, systems, and computer program products are provided for developing application definition packages, and deploying the application definition packages at cloud services to produce real-time data analytics applications. In one implementation, a selection is received of an application definition package that defines a real-time data analytics application. The application definition package indicates an application name and includes at least one payload definition, reference data definition, and query definition. A domain name is provided for the real-time data analytics application, and a cloud service is generated that is associated with the domain name. The application definition package is applied to an application template to generate a finalized real-time data analytics package. The finalized real-time data analytics package is instantiated in the cloud service to create a network-accessible instance of the real-time data analytics application.

Abstract: Methods, systems, and computer program products are provided for developing application definition packages, and deploying the application definition packages at cloud services to produce real-time data analytics applications. In one implementation, a selection is received of an application definition package that defines a real-time data analytics application. The application definition package indicates an application name and includes at least one payload definition, reference data definition, and query definition. A domain name is provided for the real-time data analytics application, and a cloud service is generated that is associated with the domain name. The application definition package is applied to an application template to generate a finalized real-time data analytics package. The finalized real-time data analytics package is instantiated in the cloud service to create a network-accessible instance of the real-time data analytics application.

Abstract: Methods, systems, and computer program products are provided for developing application definition packages, and deploying the application definition packages at cloud services to produce real-time data analytics applications. In one implementation, a selection is received of an application definition package that defines a real-time data analytics application. The application definition package indicates an application name and includes at least one payload definition, reference data definition, and query definition. A domain name is provided for the real-time data analytics application, and a cloud service is generated that is associated with the domain name. The application definition package is applied to an application template to generate a finalized real-time data analytics package. The finalized real-time data analytics package is instantiated in the cloud service to create a network-accessible instance of the real-time data analytics application.

Abstract: Methods, systems, and computer program products are provided for developing application definition packages, and deploying the application definition packages at cloud services to produce real-time data analytics applications. In one implementation, a selection is received of an application definition package that defines a real-time data analytics application. The application definition package indicates an application name and includes at least one payload definition, reference data definition, and query definition. A domain name is provided for the real-time data analytics application, and a cloud service is generated that is associated with the domain name. The application definition package is applied to an application template to generate a finalized real-time data analytics package. The finalized real-time data analytics package is instantiated in the cloud service to create a network-accessible instance of the real-time data analytics application.

Abstract: Analyzing data in one or more data flows of an integration package. The integration package includes one or more executable integration processes including one or more data flows that when executed on a server cause data to be integrated from a source system to a destination system according to transformations defined in the integration package. A method includes receiving a data package including a contained unit of one or more data flows. The method further includes defining a tap at a point in one of the data flows. The method further includes executing the data flow. The method further includes collecting data at the tap point flowing through the tap point as a result of executing the data flow. The method further includes storing data collected at the tap point in a specified storage location.