Norbert Ritter - Böcker

Second, the high-level classification scheme illustrated above provides a gentle introduction into the system space of data management: Abstracting from the extreme system diversity in this field, it helps readers build a mental model of the available options.

The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and today’s data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe – but choosing the right combination of systems for a given use case has become increasingly difficult as well.To help practitioners stay on top of that challenge, this book presents a comprehensive overview and classification of the current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and delivery to end-user devices. The topics covered thus range from NoSQL storage systems and polyglot architectures (backend) over distributed transactions and Web caching (network) to data access and rendering performance in the client (end-user).By distinguishing popular data management systems by data model, consistency guarantees, and other dimensions of interest, this book provides an abstract framework for reasoning about the overall design space and the individual positions claimed by each of the systems therein. Building on this classification, this book further presents an application-driven decision guidance tool that breaks the process of choosing a set of viable system candidates for a given application scenario down into a straightforward decision tree.

The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and today’s data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe – but choosing the right combination of systems for a given use case has become increasingly difficult as well.To help practitioners stay on top of that challenge, this book presents a comprehensive overview and classification of the current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and delivery to end-user devices. The topics covered thus range from NoSQL storage systems and polyglot architectures (backend) over distributed transactions and Web caching (network) to data access and rendering performance in the client (end-user).By distinguishing popular data management systems by data model, consistency guarantees, and other dimensions of interest, this book provides an abstract framework for reasoning about the overall design space and the individual positions claimed by each of the systems therein. Building on this classification, this book further presents an application-driven decision guidance tool that breaks the process of choosing a set of viable system candidates for a given application scenario down into a straightforward decision tree.

Die enorme Datenmenge erfordert skalierbare Datenverwaltung für weltweiten Zugriff. Zahlreiche NoSQL-Systeme prägen die komplexe Landschaft. Dieses Buch bietet Überblick und Klassifikation im Cloud-Datenmanagement. Themen umfassen NoSQL-Speichersysteme, polyglotte Architekturen, verteilte Transaktionen, Web-Caching, Datenzugriff und Rendering-Performance. Die Klassifikation ermöglicht eine Betrachtung des Gesamtentwurfs und der Positionen jedes Systems. Ein anwendungsorientiertes Entscheidungshilfetool erleichtert die Auswahl geeigneter Systemkandidaten für bestimmte Anwendungsszenarien.

This book constitutes the workshops of the 4th International Conference on Service-Oriented Computing, ICSOC 2006, held in Chicago, IL, USA. The two workshops presented were carefully reviewed and selected from six submissions. Both ICSOC'06 workshops were held as one-day-workshops the day before the major conference program of ICSOC'06 started. This volume contains separate descriptions of both workshops as well as all high-quality paper contributions to these two workshops.