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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.
Object-oriented database management systems (OODBMSs) have
generated significant excitement in the database community in the
last decade. This interest stems from a real need for data
management support for what are called "advanced application areas"
that are not well-served by relational technology. The case for
object-oriented technology has been made on three fronts. First is
the data modeling requirements of the new applications. Some of the
more important shortcomings of the relational systems in meeting
the requirements of these applications include: 1. Relational
systems deal with a single object type: a relation. A relation is
used to model different real-world objects, but the semantics of
this association is not part of the database. Furthermore, the
attributes of a relation may come only from simple and fixed data
type domains (numeric, character, and, sometimes, date types).
Advanced applications require explicit storage and manipulation of
more abstract types (e.g., images, design documents) and the
ability for the users to define their own application-specific
types. Therefore, a rich type system supporting user defined
abstract types is required. 2. The relational model structures data
in a relatively simple and flat manner. Non traditional
applications require more complex object structures with nested
objects (e.g., a vehicle object containing an engine object)."
Workflow management systems (WFMS) are enjoying increasing popular
ity due to their ability to coordinate and streamline complex
organizational processes within organizations of all sizes.
Organizational processes are de scriptions of an organization's
activities engineered to fulfill its mission such as completing a
business contract or satisfying a specific customer request.
Gaining control of these processes allows an organization to
reengineer and improve each process or adapt them to changing
requirements. The goal of WFMSs is to manage these organizational
processes and coordinate their execution. was demonstrated in the
first half The high degree of interest in WFMSs of the 1990s by a
significant increase in the number of commercial products (once
estimated to about 250) and the estimated market size (in combined
$2 billion in 1996. Ensuing maturity product sales and services) of
about is demonstrated by consolidations during the last year.
Ranging from mere e-mail based calendar tools and flow charting
tools to very sophisticated inte grated development environments
for distributed enterprise-wide applications and systems to support
programming in the large, these products are finding an eager
market and opening up important research and development op
portunities. In spite of their early success in the market place,
however, the current generation of systems can benefit from further
research and develop ment, especially for increasingly complex and
mission-critical applications."
Distributed and Parallel Database Object Management brings together
in one place important contributions and state-of-the-art research
results in this rapidly advancing area of computer science.
Distributed and Parallel Database Object Management serves as an
excellent reference, providing insights into some of the most
important issues in the field.
Workflow management systems (WFMS) are enjoying increasing popular
ity due to their ability to coordinate and streamline complex
organizational processes within organizations of all sizes.
Organizational processes are de scriptions of an organization's
activities engineered to fulfill its mission such as completing a
business contract or satisfying a specific customer request.
Gaining control of these processes allows an organization to
reengineer and improve each process or adapt them to changing
requirements. The goal of WFMSs is to manage these organizational
processes and coordinate their execution. was demonstrated in the
first half The high degree of interest in WFMSs of the 1990s by a
significant increase in the number of commercial products (once
estimated to about 250) and the estimated market size (in combined
$2 billion in 1996. Ensuing maturity product sales and services) of
about is demonstrated by consolidations during the last year.
Ranging from mere e-mail based calendar tools and flow charting
tools to very sophisticated inte grated development environments
for distributed enterprise-wide applications and systems to support
programming in the large, these products are finding an eager
market and opening up important research and development op
portunities. In spite of their early success in the market place,
however, the current generation of systems can benefit from further
research and develop ment, especially for increasingly complex and
mission-critical applications.
Distributed and Parallel Database Object Management brings together
in one place important contributions and state-of-the-art research
results in this rapidly advancing area of computer science.
Distributed and Parallel Database Object Management serves as an
excellent reference, providing insights into some of the most
important issues in the field.
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).
This revised and expanded edition of Encyclopedia of Database
Systems provides easy access to crucial concepts relevant to all
aspects of very large databases, data management, and database
systems, including areas of current interest and research results
of historical significance. This comprehensive reference is
organized alphabetically and each entry presents basic terminology,
concepts, methods and algorithms, key results to date, references
to the literature, and cross-references to other entries. Topics
for the encyclopedia-including areas of current interest as well as
research results of historical significance-were selected by a
distinguished international advisory board and written by
world-class experts in the field. New entries that reflect recent
developments and technological advances in very large databases
include: big data, big data technology, cloud computing, cloud data
centers, business analytics, social networks, ranking, trust
management, query over encrypted data, and more. Entirely new
entries include database systems, relational database systems,
databases, multimedia databases, bioinformatics, workflow systems,
and web data management. Encyclopedia of Database Systems, 2nd
edition, is designed to meet the needs of researchers, professors,
graduate and undergraduate students in computer science and
engineering. Industry professionals, from database specialists to
software developers, will also benefit from this valuable reference
work.
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