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This book addresses the challenge of provisioning of parallel hardware and software enabling high-performance parallel processing in the context of requirements dictated by big data systems. It gives description of parallel programming techniques that are necessary for efficient programs for multicore processors and parallel cluster systems.
This book unravels the mystery of Enterprise Process Management Systems (EPMS) environments and applications, and their power and potential to transform the operating contexts of business enterprises. Like the functionality of Staffware, Salesforce etc., EPMS solutions, training new personnel, or licensing new software.
This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It provides a framework that enables business and technical managers to make optimal decisions necessary for the successful migration to Big Data computing environments and applications within their organizations.
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