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This third edition of a classic textbook can be used to teach at
the senior undergraduate and graduate levels. The material
concentrates on fundamental theories as well as techniques and
algorithms. The advent of the Internet and the World Wide Web, and,
more recently, the emergence of cloud computing and streaming data
applications, has forced a renewal of interest in distributed and
parallel data management, while, at the same time, requiring a
rethinking of some of the traditional techniques. This book covers
the breadth and depth of this re-emerging field. The coverage
consists of two parts. The first part discusses the fundamental
principles of distributed data management and includes distribution
design, data integration, distributed query processing and
optimization, distributed transaction management, and replication.
The second part focuses on more advanced topics and includes
discussion of parallel database systems, distributed object
management, peer-to-peer data management, web data management, data
stream systems, and cloud computing. New in this Edition: * New
chapters, covering database replication, database integration,
multidatabase query processing, peer-to-peer data management, and
web data management. * Coverage of emerging topics such as data
streams and cloud computing * Extensive revisions and updates based
on years of class testing and feedback Ancillary teaching materials
are available.
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New Trends in Databases and Information Systems - ADBIS 2015 Short Papers and Workshops, BigDap, DCSA, GID, MEBIS, OAIS, SW4CH, WISARD, Poitiers, France, September 8-11, 2015. Proceedings (Paperback, 1st ed. 2015)
Tadeusz Morzy, Patrick Valduriez, Ladjel Bellatreche
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R3,471
Discovery Miles 34 710
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed short papers and
workshop papers of the 19th East European Conference on Advances in
Databases and Information Systems, ADBIS 2015, held in Poitiers,
France, in September 2015. The 31 revised full papers and 18 short
papers presented were carefully selected and reviewed from 135
submissions. The papers are organized in topical sections on ADBIS
Short Papers; Second International Workshop on Big Data
Applications and Principles, BigDap 2015; First International
Workshop on Data Centered Smart Applications, DCSA 2015; Fourth
International Workshop on GPUs in Databases, GID 2015; First
International Workshop on Managing Evolving Business Intelligence
Systems, MEBIS 2015; Fourth International Workshop on Ontologies
Meet Advanced Information Systems, OAIS 2015; First International
Workshop on Semantic Web for Cultural Heritage, SW4CH 2015; First
International Workshop on Information Systems for AlaRm Diffusion,
WISARD 2015.
The fourth edition of this classic textbook provides major updates.
This edition has completely new chapters on Big Data Platforms
(distributed storage systems, MapReduce, Spark, data stream
processing, graph analytics) and on NoSQL, NewSQL and polystore
systems. It also includes an updated web data management chapter
that includes RDF and semantic web discussion, an integrated
database integration chapter focusing both on schema integration
and querying over these systems. The peer-to-peer computing chapter
has been updated with a discussion of blockchains. The chapters
that describe classical distributed and parallel database
technology have all been updated. The new edition covers the
breadth and depth of the field from a modern viewpoint. Graduate
students, as well as senior undergraduate students studying
computer science and other related fields will use this book as a
primary textbook. Researchers working in computer science will also
find this textbook useful. This textbook has a companion web site
that includes background information on relational database
fundamentals, query processing, transaction management, and
computer networks for those who might need this background. The web
site also includes all the figures and presentation slides as well
as solutions to exercises (restricted to instructors).
The fourth edition of this classic textbook provides major updates.
This edition has completely new chapters on Big Data Platforms
(distributed storage systems, MapReduce, Spark, data stream
processing, graph analytics) and on NoSQL, NewSQL and polystore
systems. It also includes an updated web data management chapter
that includes RDF and semantic web discussion, an integrated
database integration chapter focusing both on schema integration
and querying over these systems. The peer-to-peer computing chapter
has been updated with a discussion of blockchains. The chapters
that describe classical distributed and parallel database
technology have all been updated. The new edition covers the
breadth and depth of the field from a modern viewpoint. Graduate
students, as well as senior undergraduate students studying
computer science and other related fields will use this book as a
primary textbook. Researchers working in computer science will also
find this textbook useful. This textbook has a companion web site
that includes background information on relational database
fundamentals, query processing, transaction management, and
computer networks for those who might need this background. The web
site also includes all the figures and presentation slides as well
as solutions to exercises (restricted to instructors).
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Advances in Databases and Information Systems - 19th East European Conference, ADBIS 2015, Poitiers, France, September 8-11, 2015, Proceedings (Paperback, 1st ed. 2015)
Morzy Tadeusz, Patrick Valduriez, Ladjel Bellatreche
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R3,062
Discovery Miles 30 620
|
Ships in 10 - 15 working days
|
This book constitutes the thoroughly refereed proceedings of the
19th East European Conference on Advances in Databases and
Information Systems, ADBIS 2015, held in Poitiers, France, in
September 2015. The 31 full papers and 18 short papers presented
were carefully selected and reviewed from 135 submissions. The
papers are organized in topical sections such as database theory
and access methods; user requirements and database evolution;
multidimensional modeling and OLAP; ETL; transformation, extraction
and archiving; modeling and ontologies; time series processing;
performance and tuning; advanced query processing; approximation
and skyline; confidentiality and trust.
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