Abstract: Systems and methods for providing access to information in a relational database via API-operations for dataframes, are disclosed. Exemplary implementations may: store information that represents an input dataframe; generate a first relation that represents the input dataframe, the first relation having a first schema; obtain a dataframe query to be performed on the input dataframe; translate the dataframe query into a sequence of relational database operations; perform the sequence of relational database operations on the first relation to generate a second relation; and present at least a portion of the second relation to a user, and/or perform other steps.

Abstract: Systems and methods for converting dataframes to relational databases and/or vice versa, are disclosed. Exemplary implementations may: store information that represents a first dataframe; generate a first relation that represents the first dataframe, the first relation having a first schema; add a first ordering attribute to the set of attributes of the first relation; populate the first ordering attribute with numbers in accordance with a row numbering of the first dataframe; perform a relational database operation on the first relation that modifies the first relation into a second relation; create a second dataframe based on the second relation such that the row labels and the order of the rows are preserved for the (remaining) records and attributes of the second relation; and/or perform other steps.

Abstract: A modeling application enables consistency among business applications and among business application processes by providing internal control rules for the business applications according to an organization model. The modeling application may model the organization by structuring the organization types within the modeled organization and providing the internal control rules for deployed business applications to comply with the organization model. The internal control rules define application semantics, properties, and policies for the business applications to provide consistent functionality across the organization.

Abstract: Implementations of various technologies and techniques for method for selecting an interesting attribute combination aggregation. In one implementation, an attribute combination aggregation may be generated. One or more values in the attribute combination aggregation may be statistically analyzed. The attribute combination aggregation may be determined as interesting based on the statistical analysis. The interesting attribute combination aggregation may then be stored.