Learning to Create Data-Integrating Queries

The number of potentially-related data resources available for querying - databases, data warehouses and virtual integrated schemas - continues to grow rapidly. Perhaps no area has seen this problem as acutely as the life sciences, where hundreds of large, complex, interlinked data resources are available on fields like proteomics, genomics, disease studies, and pharmacology. The schemas of individual databases are often large on their own, but users also need to pose queries across multiple sources, exploiting foreign keys and schema mappings.