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The metadata enigma

Authors:

Ganesan Shankaranarayanan,

Adir EvenAuthors Info & Claims

Communications of the ACM, Volume 49, Issue 2

Pages 88 - 94

https://doi.org/10.1145/1113034.1113035

Published: 01 February 2006 Publication History

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Abstract

Metadata promises too much value as a business management tool to dismiss its implementation and maintenance effort as the equivalent of Sisyphean torture.

References

[1]

Even, A., Shankaranarayanan, G., and Watts, S. Enhancing decision making with process metadata: Theoretical framework, research tool, and exploratory examination. In Proceedings of the 39th Hawaii International Conference on System Sciences (HICSS-39) (Kauai, HI, Jan. 4--7). IEEE Press, Los Alamitos, CA, 2006.

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Jarke, M., Lenzerini, M., Vassiliou, Y., and Vassiliadis, P. Fundamentals of Data Warehouses. Springer-Verlag, Heidelberg, Germany, 2000.

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Kimball, R., Reeves, L., Ross, M., and Thornthwaite, W. The Data Warehouse Lifecycle Toolkit. Wiley Computer Publishing, New York, 2000.

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Marco, D. Building and Managing the Meta Data Repository: A Full Lifecycle Guide. John Wiley and Sons, Inc., New York, 2000.

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Sen, A. Metadata management: Past, present, future. Decision Support Systems 37, 1 (Apr. 2004), 151--173.

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Shankaranarayanan, G. and Even, A. Managing metadata in data warehouses: Pitfalls and possibilities. Communications of the AIS 14, 13 (Sept. 2004), 247--274.

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Shankaranarayanan, G., Ziad, M., and Wang, R. Managing data quality in dynamic decision-making environments: An information product approach. Journal of Database Management 14, 4 (Oct.--Dec. 2003), 14--32.

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Vaduva, A. and Vetterli, T. Metadata management for data warehousing: An overview. International Journal of Cooperative Information Systems 10, 3 (Sept. 2001), 273--298.

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Augusto GNoriega CLima EVieira MMessias IArivilca W(2024)CONCATENADOR DE DADOS PARA SOLUÇÕES EMPRESARIAISRevista Contemporânea10.56083/RCV4N11-0744:11(e6561)Online publication date: 14-Nov-2024
https://doi.org/10.56083/RCV4N11-074
Panfilov PSuleykin A(2021)Chapter 8 Building Resilience into the Metadata-Based ETL Process Using Open Source Big Data TechnologiesResilience in the Digital Age10.1007/978-3-030-70370-7_8(139-153)Online publication date: 20-Feb-2021
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The metadata enigma

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Published In

Communications of the ACM Volume 49, Issue 2

Next-generation cyber forensics

February 2006

127 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1113034

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 February 2006

Published in CACM Volume 49, Issue 2

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Augusto GNoriega CLima EVieira MMessias IArivilca W(2024)CONCATENADOR DE DADOS PARA SOLUÇÕES EMPRESARIAISRevista Contemporânea10.56083/RCV4N11-0744:11(e6561)Online publication date: 14-Nov-2024
https://doi.org/10.56083/RCV4N11-074
Panfilov PSuleykin A(2021)Chapter 8 Building Resilience into the Metadata-Based ETL Process Using Open Source Big Data TechnologiesResilience in the Digital Age10.1007/978-3-030-70370-7_8(139-153)Online publication date: 20-Feb-2021
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Chee C(2019)Developing Business Intelligence Product and Metacontent Map (BIP-Map)Applying Business Intelligence Initiatives in Healthcare and Organizational Settings10.4018/978-1-5225-5718-0.ch005(91-111)Online publication date: 2019
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Woodall PGiannikas VLu WMcFarlane D(2019)Potential Problem Data Tagging: Augmenting information systems with the capability to deal with inaccuraciesDecision Support Systems10.1016/j.dss.2019.04.007Online publication date: Apr-2019
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Al-Aaridhi RDlikman IMasinde NGraffi K(2018)Search Algorithms for Distributed Data Structures in P2P Networks2018 International Symposium on Networks, Computers and Communications (ISNCC)10.1109/ISNCC.2018.8530977(1-8)Online publication date: Jun-2018
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Greenberg J(2017)Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between Data Science and MetadataJournal of Data and Information Science10.1515/jdis-2017-00122:3(19-36)Online publication date: 22-Aug-2017
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Verbitskiy YYeoh W(2016)An End-User Metadata Model on Object and Element Levels for Business Intelligence UsersInternational Journal of Business Intelligence Research10.4018/IJBIR.20160701047:2(50-58)Online publication date: 1-Jul-2016
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Chee CYeoh WTan HEe M(2016)Supporting Business Intelligence Usage: An Integrated Framework with Automatic WeightingJournal of Computer Information Systems10.1080/08874417.2016.116400356:4(301-312)Online publication date: 13-Jun-2016
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Szwed PKomnata WDymek D(2015)DWARM: An Ontology of Data Warehouse Architecture Reference ModelBeyond Databases, Architectures and Structures10.1007/978-3-319-18422-7_20(222-232)Online publication date: 2015
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Chee CYeoh WGao SRichards G(2014)Improving Business Intelligence Traceability and AccountabilityJournal of Database Management10.4018/jdm.201407010225:3(28-47)Online publication date: 1-Jul-2014
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Metadata

Metadata Solutions: Using Metamodels, Repositories, Xml, and Enterprise Portals to Generate Information on Demand

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