A hybrid approach to dynamic enterprise data platform
Citation
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/BigData47090.2019.9006043Abstract
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.
Source
2019 IEEE International Conference on Big Data, Big Data 2019The following license files are associated with this item: