Identifying join relationships based on transactional access patterns
Abstract:
A corpus of information describing queries used to access a transactional data store may be used to identify analytical relationships that are not explicitly defined in a schema or supplied by a user. Join relationships may be identified based on field coincidence in elements of queries in the corpus. Join relationships may be indicative of dimensions and attributes of a dimension. Hierarchy levels for a dimension may be identified based on factors including data type, reference in an aggregating clause, and reference in a grouping clause.
Information query
Patent Agency Ranking
0/0