
Erik Bouvin
How Twine can efficiently move data from Data Vault to Data Mart
While Data Vault highly supports agile development, Kimball-style Data Marts usually do not.
In this session, Erik Bouvin will discuss how data can be moved between your Data Vault and Data Marts in an agile way, without data pipeline dependencies and bypassing PITs using Twine.
Twine is an efficient set-based algorithm that can be applied when you have a table in which you have recorded a history of changes and some other table with related points in time, for which you want to know which historical rows were in effect at those different time points.
Join us to learn about Erik's innovative approach.
Agile Extraction
Twine Algorithm
Efficient, script‑free data marts

Introducing the Presenter
Erik Bouvin
Data Vault Modeler and Data Engineer
Erik Bouvin works as a Data Vault modeler and data engineer at Top of Minds in Stockholm, Sweden.
He is a passionate football coach for Älvsjö AIK P13 Blå.
Download Your FREE Slides Now
Please note that by downloading these slides, you join our Data Community. We encourage you to join our forum and we may send occasional emails of the latest news, updates, and insights from the community.

Related Content

