Nov 13, 2025 · This guide is an extended version of the article posted on Data Vault Alliance website, now including practical steps to build an example of real-time Data Vault feed on Snowflake.

Dec 3, 2024 · Data Vault is a hybrid data modeling methodology that combines the best of 3NF (Third Normal Form) and Star Schema. Developed by Dan Linstedt in the late 1990s, it is designed to …

Jun 30, 2025 · Data Vault 2.0 architecture naturally fits the Snowflake environment. Snowflake offers key features like separation of compute and storage, near-unlimited scalability, and built-in support for …

Apr 30, 2024 · Hash keys are cryptographic hash values generated from the attributes of a data record. These hash values serve as unique identifiers for the records. Purpose: Hash keys are used to …

Dec 3, 2025 · This explainer covers the core model and practical design choices for Data Vault on Snowflake, as well as a few implementation tips.

Mar 30, 2023 · In this blog post, we cover how to support the data preparation requirements for ML on Snowflake using Data Vault patterns for modeling and automation.

Nov 6, 2025 · Instead of lumping everything into rigid fact and dimension tables, the Data Vault 2.0 methodology separates responsibilities, so the model is stable at the core but flexible at the edges. …

Jan 29, 2025 · Data Vault 2.0 provides a scalable and flexible framework for data modeling, ideal for data integration projects. This guide demonstrates how to build a Data Vault solution using...

Aug 23, 2022 · Snowflake allows you to load and store structured and semi-structured in the original format while automatically optimizing the physical structure for efficient query access. The data is …

Jun 25, 2024 · In Snowflake we can automate this and for a Data Vault these are your minimum considerations. How data is removed given that a Data Vault is an insert-only data modelling …