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Analytics on Azure Blog
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Delivering Information with Azure Synapse and Data Vault 2.0

Naveed-Hussain's avatar
Naveed-Hussain
Icon for Microsoft rankMicrosoft
Mar 07, 2025

In this series' previous blog articles, we created a Raw Data Vault to store our raw data. In addition to capturing and integrating the data, we applied examples of soft business rules inside the Business Vault. This article focuses on using the data from the combined Data Vault model (that is, both the Raw Data Vault and Business Vault) and transforming it into valuable information to provide to business users.

This Article is Authored By  Michael Olschimke, co-founder and CEO at Scalefree International GmbH and Co-authored with  Tim Kirschke  Senior BI Consultant from Scalefree  The Technical Review is...
Published Mar 07, 2025
Version 1.0
analytics
azure
azure databricks
azure stream analytics
azure synapse analytics
delta lake
microsoft fabric
saqibali's avatar
saqibali
Copper Contributor
Mar 28, 2025

Hi molschimke Ian-Clarke Naveed-Hussain , Thanks for the detailed blogpost. Question: You mentioned that the load date timestamp is the technical timeline that indicates when data arrived at the data platform. Is this when the data arrives in the raw DB through ETL (e.g _fivetran_synced timestamp), or is this when the data is loaded into the Raw Vault?