Optimizing Queries Across Diverse Data Sources

  title={Optimizing Queries Across Diverse Data Sources},
  author={Laura M. Haas and Donald Kossmann and Edward L. Wimmers and Jun Yang},
Businesses today need to interrelate data stored in diverse sy t ms with differing capabilities, ideally via a single high-lev l query interface. We present the design of a query optimizer for Gar lic [C+95], a middleware system designed to integrate data from a broad range of data sources with very different query capabi lities. Garlic’s optimizer extends the rule-based approach of [Loh 88] to work in a heterogeneous environment, by defining generic rul es for the middleware and using wrapper… CONTINUE READING
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