Abstract: A system for generating a new dataset gleans a corpus of datasets to find attributes that could be used to construct a new dataset. When an entity selects attributes, the system analyzes relationships between the selected attributes and unselected attributes in order to generate a ranked list of suggested attributes, with the most relevant attributes at the top of the list. The system could also use this system to suggest transformations to the attributes for use in the new dataset. The entity could then select additional attributes and/or transformations to apply to the new dataset before the new dataset is generated.

Abstract: A system for generating a new dataset gleans a corpus of datasets to find attributes that could be used to construct a new dataset. When an entity selects attributes, the system analyzes relationships between the selected attributes and unselected attributes in order to generate a ranked list of suggested attributes, with the most relevant attributes at the top of the list. The system could also use this system to suggest transformations to the attributes for use in the new dataset. The entity could then select additional attributes and/or transformations to apply to the new dataset before the new dataset is generated.

Abstract: A system for synthesizing new datasets from a corpus of data sources is disclosed. The system analyzes attributes between the different datasets between the data sources to determine if there are possible relationships between the attributes. Where a possible relationship is identified, the system could generate a confidence metric between 0%-100% reflecting how likely it is that the attributes are related. The system could then synthesize a new dataset as a function of the generated confidence metric.

Abstract: A system for synthesizing a data shape from a plurality of datasets with a plurality of attributes is provided. As a user entity selects one or more attributes, the system could determine the most relevant attributes and transformations that are related to the selected attributes. As the user selects more attributes and transformations, the data shape could take form with updated rankings, and the system could provide more relevant, targeted suggestions. The data shape could then be used to create a synthesized dataset among the plurality of datasets, and could be saved as a type of query for deriving future datasets.