Chapter 8: Database parallelism, big data and analytics, deep learning
Abstract
Early Data Base Machines - DBMs were mainframes running database management systems - DBMSs. Data mining on mainframes was considered too costly, since results obtained by data mining were considered of questionable value. The advent of powerful low-cost microprocessors allowed the building of DBMs affording a high degree of parallelism, such as the Teradata DBC/1012, which has been used for data mining and data warehousing. Active disks process higher priority disk accesses for OnLine Transaction Processing - OLTP, while processing data mining requests as no cost freeblock accesses. Disks with a processor per track capability, such as the Relational Associative Processor ...
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