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Few IT professionals take the time to learn what needs to be known to do disaster recovery well. Most labor under the pretense that good administration equals close to five-nines uptime. Most technical people do not see the value of planning for disasters until the unexpected has already happened, and the effects of a disaster involving a SharePoint farm which today houses business information, line-of-business applications, sensitive information, extranets, and other highly important assets can be staggering. Pro SharePoint 2010 Disaster Recovery and High Availability will take you through a step-by-step process to show how to build an awareness and reaction plan for the inevitable. With a focus on real-world experiences and war stories, author Stephen Cummins weaves an expert tale of woe response and offers you: Ways to see the warning signs of disaster, and ways to avoid it Ways to respond to a disaster while it is happening Perhaps most importantly, how to develop a plan to deal with disaster when it inevitably does happen

Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- informatica --- informatiesystemen

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Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task. Ranking queries (also known as top-k queries) are often natural and useful in analyzing uncertain data. Ranking Queries on Uncertain Data discusses the motivations/applications, challenging problems, the fundamental principles, and the evaluation algorithms of ranking queries on uncertain data. Theoretical and algorithmic results of ranking queries on uncertain data are presented in the last section of this book. Ranking Queries on Uncertain Data is the first book to systematically discuss the problem of ranking queries on uncertain data.

Information systems --- ICT (informatie- en communicatietechnieken) --- informatiesystemen --- database management

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The way in which scientific research is carried out is undergoing a series of radical changes, worldwide, as a result of the digital revolution. However, this Science 2.0  requires a comprehensive supporting cyber-infrastructure. This essential guidebook on e-science presents real-world examples of practices and applications, demonstrating how a range of computational technologies and tools can be employed to build essential infrastructures supporting next-generation scientific research. Each chapter provides introductory material on core concepts and principles, as well as descriptions and discussions of relevant e-science methodologies, architectures, tools, systems, services and frameworks. The guide's explanations and context present a broad spectrum of different e-science system requirements. Topics and features: Includes contributions from an international selection of preeminent e-science experts and practitioners Discusses use of mainstream grid computing and peer-to-peer grid technology for open  research and resource sharing in scientific research Presents varied methods for data management in data-intensive research Investigates issues of e-infrastructure interoperability, security, trust and privacy for collaborative research Examines workflow technology for the automation of scientific processes, and that ensures the research can be reusable, reproducible and repeatable Describes applications of e-science, highlighting systems used in the fields of biometrics, clinical medicine, and ecology This highly practical text/reference is a must-have, must-use  resource for both IT professionals and academic researchers. Graduate students will also benefit from the experiences and viewpoints shared by the authors on this important subject, as well as the instructional nature of this guidebook. Dr. Xiaoyu Yang is a research engineer in the School of Electronics and Computer Science at the University of Southampton, UK. Dr. Lizhe Wang is a research scientist in the Pervasive Technology Institute at Indiana University, Bloomington, IN, USA. Dr. Wei Jie is a lecturer in the School of Computing at Thames Valley University, London, UK.

Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- informatiesystemen

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Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- informatiesystemen

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Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- informatica --- informatiesystemen