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 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.

This book constitutes the thoroughly refereed conference proceedings of the 5th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2011, held in Seattle, WA, USA, in September 2011, in conjunction with VLDB 2011, the International Conference on Very Large Data Bases. The series of BIRTE workshops aims to provide a forum for researchers to discuss and advance the foundational science and engineering required to enable real-time business intelligence as well as novel applications and solutions based on these foundational techniques.The volume contains 6 research papers, which have been carefully reviewed and selected from 12 submissions, plus the 3 keynotes presented at the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-time data, handling of temporal or uncertain data, performance issues, event management, and the optimization of complex ETL workflows. The volume contains 6 research papers, which have been carefully reviewed and selected from 12 submissions, plus the 3 keynotes presented at the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-time data, handling of temporal or uncertain data, performance issues, event management, and the optimization of complex ETL workflows.

Data management systems play the most crucial role in building large application s- tems. Since modern applications are no longer single monolithic software blocks but highly flexible and configurable collections of cooperative services, the data mana- ment layer also has to adapt to these new requirements. Therefore, within recent years, data management systems have faced a tremendous shift from the central management of individual records in a transactional way to a platform for data integration, fede- tion, search services, and data analysis. This book addresses these new issues in the area of data management from multiple perspectives, in the form of individual contributions, and it outlines future challenges in the context of data management. These contributions are dedicated to Prof. em. Dr. Dr. -Ing. E. h. Hartmut Wedekind on the occasion of his 70th birthday, and were (co-)authored by some of his academic descendants. Prof. Wedekind is one of the most prominent figures of the database management community in Germany, and he enjoys an excellent international reputation as well. Over the last 35 years he greatly contributed to making relational database technology a success. As far back as the early 1970s, he covered-as the first author in Germany- the state of the art concerning the relational model and related issues in two widely used textbooks "Datenbanksysteme I" and "Datenbanksysteme II". Without him, the idea of modeling complex-structured real-world scenarios in a relational way would be far less developed by now. Among Prof.

This book constitutes the thoroughly refereed joint post-proceedings of the three International Workshops on Grid Middleware, CoreGrid 2006, the UNICORE Summit 2006, and the Workshop on Petascale Computational Biology and Bioinformatics, held in Dresden, Germany, in August/September 2006, in conjunction with Euro-Par 2006, the 12th International Conference on Parallel Computing.

Die noch vor einigen Jahren als Vision gehandelte Situation der vollstfuldig durch dringenden Vemetzung wird immer realistischer und realisierbarer. Der Rechner am Arbeitsplatz, der Laptop fUr unterwegs, der Heimcomputer, der digitale Assistent im Miniformat und nicht zuletzt das Mobiltelefon zeugen bereits von einer Infra struktur, die eine inhaltlich umfassende und gleichzeitig permanente Informations versorgung jedes Einzelnen ermoglicht. Eine derartige Strategie des 'Pervasive Computing' wartet sowohl mit enormen Ri siken als auch Chancen auf. So wird die Moglichkeit der omniprasenten Informati onsversorgung unsere Gesellschaft vor weitreichende okonomische, soziale und ge sellschaftspolitische Aufgaben stellen. Neben volks- und betriebswirtschaftlichen Aspekten werden sich auch Konsequenzen im personlichen Bereich ergeben. So muss jeder fUr sich entscheiden, bis zu welchem Grad er eine derartige Durchdrin gung akzeptiert. Als technisches Hilfsmittel ist dabei eine Steuerung der Datenver sorgung wiinschenswert. Eine derartig kontrollierte Informationsbereitstellung ver hindert eine Informationsliberfiutung des Benutzers durch Vorselektion und Verar beitung der auszuliefemden Daten. Das vorliegende Buch adressiert derartige Kommunikations- und Verarbeitungs konzepte im Kontext datenbankbasierter Subskriptionssysteme. Die grundlegende Idee einer Subskription besteht - vereinfacht ausgedriickt - darin, dass ein Benutzer eine Sicht auf die im Subskriptionssystem reflektierte Miniwelt einmalig registriert und periodisch gemaB zusatzlich spezifizierter Auslieferungsbedingungen proaktiv yom System liber Veranderungen informiert wird. Eine systematische Einfiihrung in den Subskriptionskontext aus konzeptioneller Sichtweise, die Aufarbeitung all gemeiner und datenbankspezifischer Techniken und die Vorstellung neuer Ansatze zur Subskriptionsunterstiitzung in Datenbanksystemen bilden den Rahmen dieses Buches."

Ziel des Buches ist es, ein Framework fur eine modellseitig machtige und gleichzeitig effiziente multidimensionale Datenanalyse, basierend auf einem relationalen Datenbanksystem, zu beschreiben. Die multidimensionale Datenanalyse ist im Kontext des "Decision Support" fur eine flexible und umfassende betriebs- und volkswirtschaftliche Informationsversorgung einer Organisation verantwortlich und reflektiert somit auf technischer Ebene die zentrale Anwendung basierend auf einer "Data Warehouse"-Datenbasis.