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Business processes :a database persp...
~
Deutch, Daniel.
Business processes :a database perspective /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Business processes :Daniel Deutch, Tova Milo.
Reminder of title:
a database perspective /
Author:
Deutch, Daniel.
other author:
Milo, Tova.
Published:
[San Rafael, Calif.] :Morgan & Claypool,c2012.
Description:
xi, 91 p. :ill. ;24 cm.
Series:
Synthesis lectures on data management,
Subject:
Database management.
ISBN:
9781608459025 (pbk.) :
Business processes :a database perspective /
Deutch, Daniel.
Business processes :
a database perspective /Daniel Deutch, Tova Milo. - [San Rafael, Calif.] :Morgan & Claypool,c2012. - xi, 91 p. :ill. ;24 cm. - Synthesis lectures on data management,#272153-5418 ;.
Includes bibliographical references (p. 85-90).
Introduction -- Modeling -- Querying business processes -- Other issues -- Conclusion.
Summary: While classic data management focuses on the data itself, research on Business Processes also considers the context in which this data is generated and manipulated, namely the processes, users, and goals that this data serves. This provides the analysts a better perspective of the organizational needs centered around the data. As such, this research is of fundamental importance. Much of the success of database systems in the last decade is due to the beauty and elegance of the relational model and its declarative query languages, combined with a rich spectrum of underlying evaluation and optimization techniques, and efficient implementations. Much like the case for traditional database research, elegant modeling and rich underlying technology are likely to be highly beneficiary for the Business Process owners and their users; both can benefit from easy formulation and analysis of the processes. While there have been many important advances in this research in recent years, there is still much to be desired: specifically, there have been many works that focus on the processes behavior (flow), and many that focus on its data, but only very few works have dealt with both the state-of-the-art in a database approach to Business Process modeling and analysis, the progress towards a holistic flow-and-data framework for these tasks, and highlight the current gaps and research directions.
ISBN: 9781608459025 (pbk.) :NT$926Subjects--Topical Terms:
182428
Database management.
LC Class. No.: QA76.9.D3 / D48 2012
Business processes :a database perspective /
LDR
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426965
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OCoLC
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20130104123306.0
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9781608459025 (pbk.) :
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1608459020 (pbk.)
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9781608459032 (ebook)
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785081665
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Deutch, Daniel.
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Business processes :
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a database perspective /
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Daniel Deutch, Tova Milo.
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[San Rafael, Calif.] :
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Morgan & Claypool,
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c2012.
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xi, 91 p. :
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ill. ;
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24 cm.
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Synthesis lectures on data management,
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2153-5418 ;
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#27
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Includes bibliographical references (p. 85-90).
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Introduction -- Modeling -- Querying business processes -- Other issues -- Conclusion.
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Summary: While classic data management focuses on the data itself, research on Business Processes also considers the context in which this data is generated and manipulated, namely the processes, users, and goals that this data serves. This provides the analysts a better perspective of the organizational needs centered around the data. As such, this research is of fundamental importance. Much of the success of database systems in the last decade is due to the beauty and elegance of the relational model and its declarative query languages, combined with a rich spectrum of underlying evaluation and optimization techniques, and efficient implementations. Much like the case for traditional database research, elegant modeling and rich underlying technology are likely to be highly beneficiary for the Business Process owners and their users; both can benefit from easy formulation and analysis of the processes. While there have been many important advances in this research in recent years, there is still much to be desired: specifically, there have been many works that focus on the processes behavior (flow), and many that focus on its data, but only very few works have dealt with both the state-of-the-art in a database approach to Business Process modeling and analysis, the progress towards a holistic flow-and-data framework for these tasks, and highlight the current gaps and research directions.
530
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Also available online.
650
0
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Database management.
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182428
650
0
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Workflow
$x
Management.
$3
234671
650
0
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System analysis
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Mathematical models.
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231631
650
0
$a
Electronic commerce
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Data processing.
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670708
650
0
$a
Business enterprises
$x
Data processing.
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246238
700
1
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Milo, Tova.
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670707
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西方語文圖書區(四樓)
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1 records • Pages 1 •
1
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320000646119
西方語文圖書區(四樓)
1圖書
一般圖書
QA76.9.D3 D486 2012
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1 records • Pages 1 •
1
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