A hybrid approach to dynamic enterprise data platform
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Dosyalar
Tarih
2019-12-12
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Today, corporations aim to make maximum use of the data produced in business applications. One of the most important goals is to convert the data to the commercial benefit in the fastest way. For this purpose, it is critical to receive the data from source systems, process this data and use it as a support for business decisions. There are many approaches to the proceeding of acquiring, processing and making the data useful. In this study, we took advantage of most of the existing approaches and produced a hybrid solution. This solution can be integrated with new data sources very quickly and reduces the amount of time for data integration, preprocessing, deduplication and entity mapping by using open source software components.
Açıklama
Anahtar Kelimeler
Big data, Data warehousing, Master data management, Deduplication, Automatic schema detection, Hybrid model, Information management, Open source software, Open systems, Business applications, Business decisions, De duplications, Enterprise data, Hybrid approach, Hybrid solution
Kaynak
2019 IEEE International Conference on Big Data, Big Data 2019
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Sezgin, M. S., Bayrak, A. T. & Yıldız, O. T. (2019). A hybrid approach to dynamic enterprise data platform. Paper presented at the 2019 IEEE International Conference on Big Data, Big Data 2019, 3486-3492. doi:10.1109/BigData47090.2019.9006043
