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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.


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Agile Extraction

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Twine Algorithm

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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.

How Twine Can Efficiently Move Data From Data Vault to Data Mart

Whilst undertaking Business Intelligence functions within an organisation, one of the biggest stumbling blocks centres around agile working.

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