@inproceedings{6c2545b08f884fdbbe5aae081c479dcb,
title = "Research on the Stream ETL Process",
abstract = "Continuously growing importance of information assisted by rapid development of systems that collect and process huge volumes of data has become a great problem in terms of processing and analyzing data. The response to current and future needs of market is a data warehouse assisted by process of data extraction. Mentioned stream ETL process enables loading real-time data without interrupting processing or conducting analysis that supports decision-making processes. This paper presents first implementation of the stream ETL process which origins from model and concept of a Stream Data Warehouse. In the first part of this paper the concept of the Stream Data Warehouse and its major components, including stream ETL, will be presented. The second part contains description of a developed stream ETL engine, as well as results of performed accuracy and efficiency analysis. Finally, paper concludes with description of future research issues that will be addressed in further research on the presented solution.",
keywords = "ETL process, Stream Data Warehouse, data stream processing, data warehouse, load balancing",
author = "Marcin Gorawski and Anna Gorawska",
year = "2014",
doi = "10.1007/978-3-319-06932-6\_7",
language = "English",
isbn = "9783319069319",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "61--71",
booktitle = "Beyond Databases, Architectures and Structures - 10th International Conference, BDAS 2014, Proceedings",
address = "Germany",
}