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=== Tricle feed ===
Tricle feed or trickle loading means that when the source system is updated, the changes in the target system will occur almost immediately.<ref>{{Cite encyclopedia |titlechapter=Near Real-Time Data Warehousing with Multi-stage Trickle and Flip |publisher=Springer Berlin Heidelberg |chapter-url=http://link.springer.com/10.1007/978-3-642-24511-4_6 |date=2011 |volume=90 |pages=73–82 |doi=10.1007/978-3-642-24511-4_6, |author="zutersZuters, janis",Janis editor|editor1="grabisGrabis, janisJanis and kirikova|editor2=Kirikova, marite",Marite |title="near real-time data warehousing with multi-stage trickle and flip", booktitle="perspectivesPerspectives in businessBusiness informaticsInformatics research",Research year="2011", publisher="springer berlin heidelberg", address="berlin, heidelberg", pages="73--82", abstract|quote="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.", isbn="978-3-642-24511-4" } |isbn=978-3-642-24510-7}}</ref><ref>{{Cite web |title=Trickle Loading Data |url=https://www.vertica.com/docs/9.2.x/HTML/Content/Authoring/AdministratorsGuide/TrickleLoading/TrickleLoadingData.htm |access-date=2023-02-18}}</ref>
 
== Loading to systems that are in use ==