@inproceedings{e047701564834302a5dc93496cc62268,
title = "Near real-time data warehousing with multi-stage trickle and flip",
abstract = "A data warehouse typically is a collection of historical data designed for decision support, so it is updated from the sources periodically, mostly on a daily basis. Today's business however asks for fresher data. Real-time warehousing is one of the trends to accomplish this, but there are a number of challenges to move towards true real-time. This paper proposes 'Multi-stage Trickle \& flip' methodology for data warehouse refreshment. It is based on the 'Trickle \& flip' principle and extended in order to further insulate loading and querying activities, thus enabling both of them to be more efficient.",
keywords = "data loading, data refreshment, Real-time data warehousing",
author = "Janis Zuters",
year = "2011",
doi = "10.1007/978-3-642-24511-4\_6",
language = "English",
isbn = "9783642245107",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer Verlag",
pages = "73--82",
booktitle = "Perspectives in Business Informatics Research - 10th International Conference, BIR 2011, Proceedings",
address = "Germany",
note = "10th International Conference on Perspectives in Business Informatics Research, BIR 2011 ; Conference date: 06-10-2011 Through 08-10-2011",
}