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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 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.
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Enabling Real-Time Business Intelligence - 5th International Workshop, BIRTE 2011, Held at the 37th International Conference on Very Large Databases, VLDB 2011, Seattle, WA, USA, September 2, 2011, Revised Selected Papers (Paperback, 2012 ed.)
Malu Castellanos, Umeshwar Dayal, Wolfgang Lehner
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R1,429
Discovery Miles 14 290
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Ships in 10 - 15 working days
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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.
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Euro-Par 2006 Workshops: Parallel Processing - CoreGRID 2006, UNICORE Summit 2006, Petascale Computational Biology and Bioinformatics, Dresden, Germany, August 29-September 1, 2006, Revised Selected Papers (Paperback, 2007 ed.)
Wolfgang Lehner, Norbert Meyer, Achim Streit, Craig Stewart
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R1,576
Discovery Miles 15 760
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Ships in 10 - 15 working days
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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.
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