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The efficient management of a consistent and integrated database is a central task in modern IT and highly relevant for science and industry. Hardly any critical enterprise solution comes without any functionality for managing data in its different forms. Web-Scale Data Management for the Cloud addresses fundamental challenges posed by the need and desire to provide database functionality in the context of the Database as a Service (DBaaS) paradigm for database outsourcing. This book also discusses the motivation of the new paradigm of cloud computing, and its impact to data outsourcing and service-oriented computing in data-intensive applications. Techniques with respect to the support in the current cloud environments, major challenges, and future trends are covered in the last section of this book. A survey addressing the techniques and special requirements for building database services are provided in this book as well.
The efficient management of consistent and integrated databases is a critical task in modern IT, essential for both science and industry. This book addresses the fundamental challenges of providing database functionality within the Database as a Service (DBaaS) paradigm for database outsourcing. It explores the motivations behind cloud computing and its impact on data outsourcing and service-oriented computing in data-intensive applications. The text covers techniques for current cloud environments, major challenges, and future trends, offering a survey of techniques and requirements for building database services.
This book is positioned as a technical exploration of web-scale data management within cloud environments, likely appealing to professionals and academics in computer science and database administration. The subject matter points to a dense, specialist text focusing on the practical and theoretical aspects of DBaaS and cloud-based data outsourcing. Its coverage of current techniques, challenges, and future trends suggests it aims to provide a comprehensive overview for those involved in designing or managing large-scale data systems.
Page Count:
193
Publication Date:
2013-01-01
ISBN-10:
1461468566
ISBN-13:
9781461468561
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