Abstract: A method for filtering a product transaction data file involves receiving, by a computer, a query including one or more groups of attribute conditions for filtering the product transaction data file. The attribute conditions in the query are applicable to product attribute data records split across a set of vertically split attribute data files. The method further includes determining which of the product attribute data records split across the set of vertically split attribute data files satisfy all of the one or more groups of attribute conditions in the query, identifying product keys associated with the product attribute data records that satisfy all of the one or more groups of attribute conditions in the query, and using the so-identified product keys to filter product data records in the transaction data file.

Abstract: A method, device, and system that relate to synchronization of objects from a Source System and objects in a Target System by a Synchronization Engine situated on the Target System according to a user generated request. A Network handles the user generated request, which includes a selection of a Source System and search criteria, to synchronize the Source System and the Target System. The Synchronization Engine executes synchronization by comparing the hierarchical backend object models of relevant objects in the Source System and in the Target System. The Synchronization Engine provides the user with Search Results detailing the distinctions among the relevant objects. The synchronization process automatically includes objects dependent upon user-selected objects to avoid errors in applications running the synchronized configurations.

Abstract: A method for filtering a product transaction data file involves receiving, by a computer, a query including one or more groups of attribute conditions for filtering the product transaction data file. The attribute conditions in the query are applicable to product attribute data records split across a set of vertically split attribute data files. The method further includes determining which of the product attribute data records split across the set of vertically split attribute data files satisfy all of the one or more groups of attribute conditions in the query, identifying product keys associated with the product attribute data records that satisfy all of the one or more groups of attribute conditions in the query, and using the so-identified product keys to filter product data records in the transaction data file.

Abstract: A search query is received that is associated with two or more data sources so that a source-specific query is generated for each data source using a data source definition associated with the corresponding data source and the search query. Thereafter, searches are executed for a first set of data sources using the corresponding source-specific queries. These search results from the first set of data sources are consolidated. In addition, searches are executed for a second set of data sources using the corresponding source-specific queries. These search results from the second set of data sources are then consolidated with the consolidated search results from the first set of data sources. In some implementations, at least one search comprises a main search followed by a sub-search that filters results from the main search. Related apparatus, systems, techniques and articles are also described.