Delivering data from a Data Vault
Written by Roelant Vos on 12.23.2021
As part of our recent 2022 R1 release there have been countless updates to our reference documentation. In the background, much of this is generated from our BimlFlex code and is also available now as tooltips and descriptions that are available when working with BimlFlex day-to-day.
Improvements have been made across the board for our documentation websites, and certain elements have been highlights in this blog. For example our updated documentation on Extension Points.
There are two areas worth mentioning specifically around Data Vault implementation, and delivering results using the 'Business' Data Vault concept and into Dimensional Models.
Have a look at our updated Data Vault section, and specifically how to implement the following using BimlFlex:
The phrase "Delivering data from a Data Vault" speaks to the crucial, and sometimes challenging, task of extracting valuable information from a Data Vault architecture. Data Vaults are designed for historical tracking and auditability, which makes data delivery require careful consideration to translate complex, granular data into actionable insights. This often involves specialized techniques like point-in-time (PIT) table creation and bridging tables to connect disparate data entities.
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