Abstract: Asset recommendation for a particular input dataset is provided. Candidate data analysis assets having a corresponding relatedness score associated with the particular input dataset greater than a defined relatedness score threshold value are selected. Those candidate data analysis assets having a corresponding relatedness score greater than the defined relatedness score threshold value are ranked by score. Those candidate data analysis assets having a corresponding relatedness score greater than the defined relatedness score threshold value are listed by rank from highest to lowest. A justification for each candidate data analysis asset is inserted in the ranked list of candidate data analysis assets. The ranked list of candidate data analysis assets along with each respective justification is outputted on a display device.

Abstract: Asset recommendation for a particular input dataset is provided. Candidate data analysis assets having a corresponding relatedness score associated with the particular input dataset greater than a defined relatedness score threshold value are selected. Those candidate data analysis assets having a corresponding relatedness score greater than the defined relatedness score threshold value are ranked by score. Those candidate data analysis assets having a corresponding relatedness score greater than the defined relatedness score threshold value are listed by rank from highest to lowest. A justification for each candidate data analysis asset is inserted in the ranked list of candidate data analysis assets. The ranked list of candidate data analysis assets along with each respective justification is outputted on a display device.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for enforcing governance policies. In response to comparing an estimated confidence and a confidence boundary for data in a data source, a data governance policy for the data source is enforced by re-profiling the data source.

Abstract: According to an embodiment of the present invention, a computer system for configuring a system with at least two different system components based on a target computing environment includes at least one processor. The computer system generates a profile to configure each of the different system components for the target computing environment. The profile identifies the corresponding tasks to be performed and properties to configure each of the different system components for the target computing environment. The computer system processes the profile and performs the tasks in the order listed in the profile and in accordance with the properties to configure the system for the target computing environment. Embodiments of the present invention further include a method and computer program product for configuring a system with at least two different system components based on a target computing environment in substantially the same manner described above.

Abstract: According to an embodiment of the present invention, a computer system for configuring a system with at least two different system components based on a target computing environment includes at least one processor. The computer system generates a profile to configure each of the different system components for the target computing environment. The profile identifies the corresponding tasks to be performed and properties to configure each of the different system components for the target computing environment. The computer system processes the profile and performs the tasks in the order listed in the profile and in accordance with the properties to configure the system for the target computing environment. Embodiments of the present invention further include a method and computer program product for configuring a system with at least two different system components based on a target computing environment in substantially the same manner described above.