NDLI: Enterprise data management in mixed workload environments

Content Provider	IEEE Xplore Digital Library
Author	Krueger, J. Grund, M. Tinnefeid, C. Schaffner, J. Mueller, S. Zeier, A.
Copyright Year	2009
Description	Author affiliation: Hasso Plattner Institute for IT Systems Engineering, University of Potsdam, August-Bebel-Str. 88, D-14482 Potsdam, Germany WWW Home Page (Krueger, J.; Grund, M.; Tinnefeid, C.; Schaffner, J.; Mueller, S.; Zeier, A.)
Abstract	Enterprise applications are presently built on a 20year old data management infrastructure that was designed to meet a specific set of requirements for OLTP systems. In the meantime, enterprise applications have become more sophisticated, data set sizes have increased, requirements on the freshness of input data have been strengthened, and the time allotted for completing business processes has been reduced. To meet these challenges, enterprise applications have become increasingly complicated to make up for short-comings in the data management infrastructure. This paper outlines the characteristics of enterprise application with regards to the underlying data management layer. We also propose a database design perfectly fit to the demanded requirements of enterprise applications.
Starting Page	726
Ending Page	730
File Size	219180
Page Count	5
File Format	PDF
ISBN	9781424436712
DOI	10.1109/ICIEEM.2009.5344494
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data analysis Companies Data engineering World Wide Web Application software Environmental management Column Store Information System Design engineering Enterprise Application Engineering management Mixed Workload Main Memory Systems engineering and theory Database systems
Content Type	Text
Resource Type	Article

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