A Concept of Enterprise Big Data and BI Workflow Driven Platform

• Autorzy: Maciej Pondel
• Języki publikacji: EN

Abstrakty

EN

This paper describes the author's concept for universal enterprise platform that allows to benefit from modern approaches to data analysis based on Business Intelligence and Big Data technologies. This idea is based on SOA architecture that enables workflow to coordinate the business processes and communicate domain applications with bespoke Business Intelligence and Big Data Solutions. Whole platform is designed the way that can be provided in a cloud environment.(original abstract)

Słowa kluczowe

EN

Enterprises

PL

Przedsiębiorstwo

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2015
• Tom: 5
• Strony: 1699--1704

Twórcy

autor

Maciej Pondel

• Wrocław University of Economics, Poland

Bibliografia

• Tabakow M., Korczak J., Franczyk B., "Big Data - Definicje, Wyzwania I Technologie Informatyczne" In Informatyka Ekonomiczna Business Informatics 1 (31) 2014, Publishing House of Wroclaw University of Economics, Wrocław 2014
• D. Che, M. Safran, and Z. Peng, "From Big Data to Big Data Mining: challenges, issues, and opportunities," in Database Systems for Advanced Applications, pp. 1-15, Springer, Berlin, Germany, 2013
• M. Chen, S. Mao, and Y. Liu, "Big data: a survey," Mobile Networks and Applications, vol. 19, no. 2, pp. 171-209, 2014.
• J. Manyika, C. Michael, B. Brown et al., "Big data: The next frontier for innovation, competition, and productivity," Tech. Rep., Mc Kinsey, May 2011, http://www.mckinsey.com/insights/ business_technology/big_data_the_next_frontier_for_innovation
• Nelson G., Business Intelligence 2.0: Are we there yet? SAS Global Forum 2010 (http://support.sas.com/resources/papers/proceedings10/ 040-2010.pdf)
• Pondel M.: Business Intelligence as a service in a cloud environment, in: Proceedings of the 2013 Federated Conference on Computer Science and Information Systems / Ganzha Maria, Maciaszek Leszek, Paprzycki Marcin ( red. ), 2013, IEEE, ISBN 978-1-4673-4471-5, ss. 1269-1271
• Cabrio B. What Is Business Intelligence 3.0?, Strategic Analytics Blog, http://blog.strat-wise.com/2015/03/what-is-businessintelligence- 30_2.html , 2015
• Chen, Hsinchun, Roger HL Chiang, and Veda C. Storey. "Business Intelligence and Analytics: From Big Data to Big Impact." MIS quarterly 36.4 (2012): 1165-1188.
• Schmidt, Marc-Thomas. "Building workflow business objects." Business Object Design and Implementation II. Springer London, 1998. 64-76.
• Demeyer, Romain, et al. "Declarative workflows to efficiently manage flexible and advanced business processes." Proceedings of the 12th international ACM SIGPLAN symposium on Principles and practice of declarative programming. ACM, 2010.
• Liu, Xiao, et al. "Managing large numbers of business processes with cloud workflow systems." Proceedings of the Tenth Australasian Symposium on Parallel and Distributed Computing-Volume 127. Australian Computer Society, Inc., 2012.
• Chirigati, Fernando, et al. "Evaluating parameter sweep workflows in high performance computing." Proceedings of the 1st ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies. ACM, 2012.
• Alsqour, M., Owoc, M. L., & Ahmed, A. S. (2014, September). Data warehouse as a source of knowledge acquisition. An empirical study. In Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on (pp. 1421-1430). IEEE.

Identyfikatory

DOI

10.15439/2015F343