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Framework for implementing a big data ecosystem in organizations

Published:19 December 2018Publication History
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Featuring the various dimensions of data management, it guides organizations through implementation fundamentals.

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References

  1. Adams, M.N. Perspectives on data mining. International Journal of Market Research 52, 1 (Jan. 2010), 11--19.Google ScholarGoogle ScholarCross RefCross Ref
  2. Ahern, M., Clouse, A., and Turner, R. CMMI Distilled: A Practical Introduction to Integrated Process Improvement, Second Edition. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Alfouzan, H.I. Big data in business. International Journal of Scientific & Engineering Research 6, 5 (May 2015), 1351--1352.Google ScholarGoogle Scholar
  4. Bharadwaj, A., El Sawy, O.A., Pavlou, P.A., and Venkatraman, N. Digital business strategy: Toward a next generation of insights. MIS Quarterly 37, 2 (June 2013), 471--482. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Brown, B., Chui, M., and Manyika, J. Are you ready for the era of 'big data'? McKinsey Quarterly 4 (Oct. 2011), 24--35.Google ScholarGoogle Scholar
  6. Chalmeta, R., Campos, C., and Grangel, R. Reference architectures for enterprise integration. Journal of Systems and Software 57, 3 (July 2001), 175--191. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Chui, M., Manyika, J., and Bughin, J. Big data's potential for businesses. Financial Times (May 13, 2011); https://www.ft.com/content/64095dba-7cd5-11e0-994d-00144feabdc0Google ScholarGoogle Scholar
  8. Das, T.K. and Kumar, P.M. Big data analytics: A framework for unstructured data analysis. International Journal of Engineering and Technology 5, 1 (Feb.-Mar. 2013), 153--156.Google ScholarGoogle Scholar
  9. Debortoli, S., Müller, O., and Vom Brocke, J. Comparing business intelligence and big data skills: A text mining study using job advertisements. Business & Information Systems Engineering 6, 5 (Oct. 2014), 289--300.Google ScholarGoogle ScholarCross RefCross Ref
  10. Demchenko, Y., de Laat, C., and Membrey, P. Defining architecture components of the big data ecosystem. In Proceedings of the International Conference on Collaboration Technologies and Systems (Minneapolis, MN, May 19--23). IEEE Press, 2014, 104--112.Google ScholarGoogle ScholarCross RefCross Ref
  11. Elgendy, N. and Elragal, A. Big data analytics: A literature review. In Proceedings of the 14<sup>th</sup> Industrial Conference on Data Mining (St. Petersburg, Russia, July 16--20). Lecture Notes in Computer Science, 8557. Springer International Publishing, Switzerland, 2014, 214--227.Google ScholarGoogle Scholar
  12. Ferguson, M. Architecting a Big Data Platform for Analytics. IBM White Paper, Oct. 2012; http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=IML14333USENGoogle ScholarGoogle Scholar
  13. Flouris, I., Giatrakos, N., Deligiannakis, A., Garofalakis, M., Kamp, M., and Mock, M. Issues in complex event processing: Status and prospects in the big data era. Journal of Systems and Software 127 (May 2017), 217--236. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Gèczy, P. Big data management: Relational framework. Review of Business & Finance Studies 6, 3 (2015), 21--30.Google ScholarGoogle Scholar
  15. Halper, F. and Krishnan, K. TDWI Big Data Maturity Model Guide. TDWI Research, Renton, WA, 2013; https://tdwi.org/whitepapers/2013/10/tdwi-big-data-maturity-model-guide.aspxGoogle ScholarGoogle Scholar
  16. Hortonworks. Hortonworks Big Data Maturity Model, 2016; http://hortonworks.com/wp-content/uploads/2016/04/Hortonworks-Big-Data-Maturity-Assessment.pdfGoogle ScholarGoogle Scholar
  17. Jagadish, H.V., Gehrke, J., Labrinidis, A., Papakonstantinou, Y., Patel, J.M., Ramakrishnan, R., and Shahabi, C. Big data and its technical challenges. Commun. ACM 57, 7 (July 2014), 86--94. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Miller, H.G. and Mork, P. From data to decisions: A value chain for big data. IT Professional 15, 1 (Jan.-Feb. 2013), 57--59. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Object Management Group. Unified Modeling Language. OMG, 2000; http://www.uml.org/Google ScholarGoogle Scholar
  20. Object Management Group. Business Process Model and Notation. OMG, 2011; http://www.omg.org/spec/BPMN/2.0Google ScholarGoogle Scholar
  21. Orenga-Roglá, S. and Chalmeta, R. Social customer relationship management: Taking advantage of Web 2.0 and big data technologies. SpringerPlus 5, 1462 (Aug. 2016), 1--17.Google ScholarGoogle ScholarCross RefCross Ref
  22. Orenga-Roglá, S. and Chalmeta, R. Methodology for the implementation of knowledge management systems 2.0: A case study in an oil and gas company. Business & Information Systems Engineering (Dec. 2017), 1--19Google ScholarGoogle Scholar
  23. Pawlowski, J. and Bick, M. The global knowledge management framework: Towards a theory for knowledge management in globally distributed settings. Electronic Journal of Knowledge Management 10, 1 (Jan. 2012), 92--108.Google ScholarGoogle Scholar
  24. Radcliffe, J. Leverage a Big Data Maturity Model to Build Your Big Data Roadmap. Radcliffe Advisory Services, Ltd., Guildfor, U.K., 2014.Google ScholarGoogle Scholar
  25. Sagiroglu, S. and Sinanc, D. Big data: A review. In Proceedings of the International Conference on Collaboration Technologies and Systems (San Diego, CA, May 20--24). IEEE Press, 2013, 42--47.Google ScholarGoogle ScholarCross RefCross Ref
  26. Shin, D.H. and Choi, M.J. Ecological views of big data: Perspectives and issues. Telematics and Informatics 32, 2 (May 2015), 311--320. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Sun, H. and Heller, P. Oracle Information Architecture: An Architect's Guide to Big Data. Oracle White Paper, Aug. 2012; https://d2jt48ltdp5cjc.cloudfront.net/uploads/test1_3021.pdfGoogle ScholarGoogle Scholar
  28. Tekiner, F. and Keane, J.A. Big data framework. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (Manchester, U.K., Oct. 13--16). IEEE Press, 2013, 1494--1499. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. United Nations Economic Commission for Europe. A Suggested Framework for the Quality of Big Data. Deliverables of the UNECE Big Data Quality Task Team. UNECE, Dec. 2014; http://www.unece.org/unece/search?q=A+Suggested+Framework+for+the+Quality+of+Big+Data.+&op=SearchGoogle ScholarGoogle Scholar
  30. Yu, E. Why agent-oriented requirements engineering. In Proceedings of the Third International Workshop on Requirements Engineering: Foundation of Software Quality (Barcelona, Spain, June 16--17). Presses Universitaires de Namur, Namur, Belgium, 1997, 171--183.Google ScholarGoogle Scholar

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          cover image Communications of the ACM
          Communications of the ACM  Volume 62, Issue 1
          January 2019
          109 pages
          ISSN:0001-0782
          EISSN:1557-7317
          DOI:10.1145/3301004
          Issue’s Table of Contents

          Copyright © 2018 ACM

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          Publication History

          • Published: 19 December 2018

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