The trend in database applications is that databases are becoming orders of magnitude larger and user queries are becoming more and more complex. This trend is driven by new application areas such as decision support, multi-media applications, scientific data, visualization, and information retrieval. For example, NASA scientists have been collecting terabytes of satellite image data from space for many years, and they wish to run various queries over all the past and current data to find relevant images for their research. As another example, several department stores have started to record every product-code scanning action of every cashier in every store in their chain. Ad-hoc complex queries are run on this historical database to discover buying patterns and make stocking decisions.
Title
Parallel Query Processing Using Shared Memory Multiprocessors and Disk Arrays
Published
1994-01-14
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
ERL-93-28
Type
Text
Extent
146 p
Archive
The Engineering Library
Usage Statement
Researchers may make free and open use of the UC Berkeley Library’s digitized public domain materials. However, some materials in our online collections may be protected by U.S. copyright law (Title 17, U.S.C.). Use or reproduction of materials protected by copyright beyond that allowed by fair use (Title 17, U.S.C. § 107) requires permission from the copyright owners. The use or reproduction of some materials may also be restricted by terms of University of California gift or purchase agreements, privacy and publicity rights, or trademark law. Responsibility for determining rights status and permissibility of any use or reproduction rests exclusively with the researcher. To learn more or make inquiries, please see our permissions policies (https://www.lib.berkeley.edu/about/permissions-policies).
