000 03458nam a22005055i 4500
001 978-3-031-01891-6
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005 20240730163743.0
007 cr nn 008mamaa
008 220601s2012 sz | s |||| 0|eng d
020 _a9783031018916
_9978-3-031-01891-6
024 7 _a10.1007/978-3-031-01891-6
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
100 1 _aMilo, Tova.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980383
245 1 0 _aBusiness Processes
_h[electronic resource] /
_cby Tova Milo, Daniel Deutsch.
250 _a1st ed. 2012.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2012.
300 _aXI, 91 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Data Management,
_x2153-5426
505 0 _aIntroduction -- Modeling -- Querying Business Processes -- Other Issues -- Conclusion.
520 _aWhile 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. Table of Contents: Introduction / Modeling / Querying Business Processes / Other Issues / Conclusion.
650 0 _aComputer networks .
_931572
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 1 4 _aComputer Communication Networks.
_980384
650 2 4 _aData Structures and Information Theory.
_931923
700 1 _aDeutsch, Daniel.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980385
710 2 _aSpringerLink (Online service)
_980386
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031007637
776 0 8 _iPrinted edition:
_z9783031030192
830 0 _aSynthesis Lectures on Data Management,
_x2153-5426
_980387
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01891-6
912 _aZDB-2-SXSC
942 _cEBK
999 _c84950
_d84950