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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.
The emerging possibilities of information technology and data communication, the globalization of markets, and the ongoing specialization of firms have paved the way for network enterprises as an organizational model of collaboration and coordination across loosely connected individual companies. This book explores the varous types of business networks and explains the underlying technology used to create them. It covers customer newtorks, supply chain networks, manufacturing networks, and aggregator networks. Supporting technology includes enterprise process management, component architectures, and web services. The book also covers systems science to give readers a theoretical background.
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.
Drawing lessons from one of the best models of success, the evolutionary model, this book explains why an organization must actively monitor the market environment and competitors to ascertain excellence and reconfigure and reframe continuously. It introduces the patterns and anti-patterns of excellence and includes detailed case studies based on different variations, including structure variations, shared values variations, and staff variations. The book includes case history segments from Toyota, Acer, eBay, Cisco, Blackberry, Samsung, Volvo, Charles Schwab, McDonald's, Starbucks, Google, Disney, and NUMMI; as well as detailed case histories of GE, IBM, and UPS.
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