Web-Scale Data Management for the Cloud

Wolfgang Lehner, Kai-Uwe Sattler

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English

Springer-Verlag New York Inc.
22 May 2015

Network hardware; Databases; Information retrieval; Computer networking & communications

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.

By: Wolfgang Lehner, Kai-Uwe Sattler
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: 2013 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 11mm
Weight: 3.285kg
ISBN: 9781489997715
ISBN 10: 1489997717
Pages: 193
Publication Date: 22 May 2015
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Reviews for Web-Scale Data Management for the Cloud

From the reviews: The authors of this book offer the perfect guide for anyone who wants to understand more about using the cloud for data management, including what to consider when making the decision. The book is well organized and very precisely formulated, and gives the reader a good understanding of the big picture, including the underlying details that motivate the various alternative design choices and their possible consequences. (Aake Edlund, Computing Reviews, September, 2013)