Datalasting (Norwegian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Datalasting" in Norwegian language version.

refsWebsite

Global rank Norwegian rank

1thedataschool.co.uk

low place

1hevodata.com

low place

1pyramidanalytics.com

low place

1timmitchell.net

low place

1springer.com

274^th place

698^th place

1doi.org

2^nd place

9^th place

1vertica.com

low place

1alibabacloud.com

low place

1ibm.com

1,131^st place

1,802^nd place

alibabacloud.com (Global: low place; Norwegian: low place)

«Create shadow tables for synchronization - Data Management - Alibaba Cloud Documentation Center». www.alibabacloud.com. Besøkt 18. februar 2023.

doi.org (Global: 2^nd place; Norwegian: 9^th place)

Zuters, Janis (2011). «Near Real-Time Data Warehousing with Multi-stage Trickle and Flip». I Grabis, Janis. Perspectives in Business Informatics Research. 90. Springer Berlin Heidelberg. s. 73–82. ISBN 978-3-642-24510-7. doi:10.1007/978-3-642-24511-4_6, author="zuters, janis", editor="grabis, janis and kirikova, marite", title="near real-time data warehousing with multi-stage trickle and flip", booktitle="perspectives in business informatics research", year="2011", publisher="springer berlin heidelberg", address="berlin, heidelberg", pages="73--82", 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.", isbn="978-3-642-24511-4" } Sjekk |doi=-verdien (hjelp). Besøkt 18. februar 2023.

hevodata.com (Global: low place; Norwegian: low place)

«Incremental Data Load vs Full Load ETL: 4 Critical Differences - Learn | Hevo» (på engelsk). 14. april 2022. Besøkt 18. februar 2023.

ibm.com (Global: 1,131^st place; Norwegian: 1,802^nd place)

«Shadow tables». www.ibm.com (på engelsk). 10. august 2015. Besøkt 18. februar 2023.

pyramidanalytics.com (Global: low place; Norwegian: low place)

help.pyramidanalytics.com

«Incremental Loading». help.pyramidanalytics.com. Besøkt 18. februar 2023.

springer.com (Global: 274^th place; Norwegian: 698^th place)

link.springer.com

Zuters, Janis (2011). «Near Real-Time Data Warehousing with Multi-stage Trickle and Flip». I Grabis, Janis. Perspectives in Business Informatics Research. 90. Springer Berlin Heidelberg. s. 73–82. ISBN 978-3-642-24510-7. doi:10.1007/978-3-642-24511-4_6, author="zuters, janis", editor="grabis, janis and kirikova, marite", title="near real-time data warehousing with multi-stage trickle and flip", booktitle="perspectives in business informatics research", year="2011", publisher="springer berlin heidelberg", address="berlin, heidelberg", pages="73--82", 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.", isbn="978-3-642-24511-4" } Sjekk |doi=-verdien (hjelp). Besøkt 18. februar 2023.

thedataschool.co.uk (Global: low place; Norwegian: low place)

«The Data School - Full vs Incremental refresh - Server tip». www.thedataschool.co.uk. Besøkt 18. februar 2023.

timmitchell.net (Global: low place; Norwegian: low place)

Mitchell, Tim (23. juli 2020). «The What, Why, When, and How of Incremental Loads». Tim Mitchell (på engelsk). Besøkt 18. februar 2023.

vertica.com (Global: low place; Norwegian: low place)

«Trickle Loading Data». www.vertica.com. Besøkt 18. februar 2023.

Datalasting (Norwegian Wikipedia)

alibabacloud.com (Global: low place; Norwegian: low place)

doi.org (Global: 2nd place; Norwegian: 9th place)

hevodata.com (Global: low place; Norwegian: low place)

ibm.com (Global: 1,131st place; Norwegian: 1,802nd place)

pyramidanalytics.com (Global: low place; Norwegian: low place)

help.pyramidanalytics.com

springer.com (Global: 274th place; Norwegian: 698th place)

link.springer.com

thedataschool.co.uk (Global: low place; Norwegian: low place)

timmitchell.net (Global: low place; Norwegian: low place)

vertica.com (Global: low place; Norwegian: low place)

doi.org (Global: 2^nd place; Norwegian: 9^th place)

ibm.com (Global: 1,131^st place; Norwegian: 1,802^nd place)

springer.com (Global: 274^th place; Norwegian: 698^th place)