DocumentCode :
162365
Title :
Company level Big Data Management
Author :
Orosz, Tamas ; Orosz, Istvan
fYear :
2014
fDate :
15-17 May 2014
Firstpage :
299
Lastpage :
303
Abstract :
Carefully Processing enormous data in Company-level evokes new tools and methods in Enterprise Data Management. The volume of information and data increases in an exponential way, which makes strategic issues not only for individuals but also in Company-level. Typical approaches are well known for these kinds of problems. Date is stored in Databases, Data warehouses and Cloud applications. There are various well-known and appropriate solutions are ready-to-use for any of the above listed applications, but they are rarely complete at Corporation levels. Therefore, Enterprises require temporary solutions. The current article discusses the main issues together with the complete and temporary solutions for typical Data management. Effectiveness, efficiency and costs are demonstrated in different point of views, e.g. Project and Knowledge Management.
Keywords :
Big Data; business data processing; cloud applications; company level big data management; data warehouses; databases; enterprise data management; knowledge management; project management; Big data; Bismuth; Companies; Informatics; Standards; Big Data Management; Cost-efficiency; ERP Systems; change management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on
Conference_Location :
Timisoara
Type :
conf
DOI :
10.1109/SACI.2014.6840081
Filename :
6840081
Link To Document :
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