Abstract: A method, system, and computer-readable storage device for transferring data from a database management system to a data analytics system is described herein. In one aspect, a database management node storing a data partition of a database table that is distributed across a plurality of database management nodes of a database management system receives a data transfer request from a data analytics node of a data analytics node cluster. The data transfer request may include a data transfer policy for splitting the data partition onto the data analytics node cluster. A data split may be identified from the data partition. The data split may be a subset of the data partition. The data split is communicated to the data analytics node according to the data transfer policy.

Abstract: A method, system, and computer-readable storage device for transferring data from a database management system to a data analytics system is described herein. In one aspect, a database management node storing a data partition of a database table that is distributed across a plurality of database management nodes of a database management system receives a data transfer request from a data analytics node of a data analytics node cluster. The data transfer request may include a data transfer policy for splitting the data partition onto the data analytics node cluster. A data split may be identified from the data partition. The data split may be a subset of the data partition. The data split is communicated to the data analytics node according to the data transfer policy.

Abstract: A system, method, and computer program product provides a multi-category apply operation in a data mining system that produces output with multiple class values, their associated measures including probabilities in case of supervised models, quality of fit and distance in case of clustering models, and the relative ranks of the predictions. A method for multi-category apply in a data mining system comprises the steps of receiving input data for scoring including a plurality of rows of data applied to a data mining model and generating multi-category apply output including a plurality of class values and their associated probabilities based on the received input data, the selected class values having probabilities meeting a selection criterion and their ranks.

Abstract: A data mining system for a database management system and method and computer program product therefore, that provides improved functionality over synchronous data mining systems, and which provides features such as interruptible tasks and status output. A data mining system for a database management system comprises a plurality of data mining task objects operable to perform data mining functions, a data mining task queue table operable to maintain at least one queue to manage execution of the data mining tasks, and a data mining system task monitor operable to monitor execution of currently executing data mining tasks, examine the data mining task queue table, select at least one task for execution, dequeue data mining tasks from the data mining task queue table, and initiate execution of the dequeued tasks.

Abstract: A system, method, and computer program product provides a multi-category apply operation in a data mining system that produces output with multiple class values, their associated measures including probabilities in case of supervised models, quality of fit and distance in case of clustering models, and the relative ranks of the predictions. A method for multi-category apply in a data mining system comprises the steps of receiving input data for scoring including a plurality of rows of data applied to a data mining model and generating multi-category apply output including a plurality of class values and their associated probabilities based on the received input data, the selected class values having probabilities meeting a selection criterion and their ranks.