Download PDF by Vivek Kale: Big data computing: a guide for business and technology

By Vivek Kale

ISBN-10: 1315371200

ISBN-13: 9781315371207

ISBN-10: 1498715338

ISBN-13: 9781498715331

This booklet unravels the secret of massive information computing and its strength to rework company operations. The process it makes use of can be useful to any expert who needs to current a case for understanding giant facts computing options or to people who may be fascinated with a huge facts computing venture. It offers a framework that allows company and technical managers to make optimum judgements helpful for the winning migration to important information computing environments and functions inside of their organisations.

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This approach is in contrast to a distributed computing model, where massive numbers of separate computers are used to solve a single problem such as in the search for extraterrestrial intelligence. Early examples of MPP systems were the Distributed Array Processor, the Connection Machine, and the Ultracomputer. In data mining, there is a need to perform multiple searches of a static database. The earliest MPP systems all used serial computers as individual processing units in order to maximize the number of units available for a given size and cost.

A flexible storage and retrieval mechanism should maintain relationships on an equal footing with the individual data elements. Database Basics 23 3. In a nondatabase context, each programmer “owns” the data files associated with his program, making these files less accessible to others. By contrast, a database provides more uniform availability of data. 4. Without a centralized database, the security policy must deal with a dispersed collection of files of varying formats; the centralized approach has one uncomfortable security disadvantage: if the central facility is compromised, all the data are exposed.

Midrange systems first became popular as minicomputers in scientific research, instrumentation systems, engineering analysis, and industrial process monitoring and control. Minicomputers were able to easily handle such functions because these applications are narrow in scope and do not demand the processing versatility of mainframe systems. Today, midrange systems include servers used in industrial process control and manufacturing plants and play major roles in computer-aided manufacturing (CAM).

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Big data computing: a guide for business and technology managers by Vivek Kale

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