Snowflake and Data Vault 2.0: A Scalable BI Approach
Snowflake and Data Vault 2.0 provide a flexible and scalable approach for building an information repository.
An adaptive approach for evolving business needs
The Snowflake Data Cloud is ideal for building a data vault due to its high performance and elasticity, rapid data ingestion, zero-copy cloning, and pay-per-second pricing.
A focus on business problems, not programming
Snowflake’s support for semi-structured data with the VARIANT data type provides flexibility for loading data into Satellites when you don’t know all the requirements up front.
Accurate and auditable data for regulatory compliance
Snowflake and Data Vault 2.0 can track all historical aspects of data including relationships, attributes, and sources over time.
Learn more about how to use Data Vault 2.0 framework with Snowflake from Indigo Ag, Paciolan, and Portland General Electric.
During this panel discussion Kent Graziano, Chief Technical Evangelist, is joined by Keith White, Chief Technology Officer at Paciolan, Aravind Murugesh, Principal Data Engineer and Architect at Portland General Electric and Veronika Durgin, Principal Software Engineer at Indigo Ag to discuss how they successfully implemented Data Vault on Snowflake.
Learn how Paciolan reduced ETL code by 90% and improved ETL loads from hours to minutes with a Data Vault
See how Sainsbury’s used Snowflake and Data Vault 2.0 to generate better insights and ease compliance with GDPR