Summary
Data vault is a data modeling design pattern used to build a data warehouse for enterprise-scale analytics. It stores "a single version of the facts" as opposed to other data warehouse methods which store "a single version of the truth" where data that does not conform to the definitions is removed or "cleansed".
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It has three types of entities: hubs, links, and satellites.
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According to
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Summary
a data vault stores "a single version of the facts" (also expressed by Dan Linstedt as "all the data, all of the time") as opposed to the practice in other data warehouse methods of storing "a single version of the truth " where data that does not conform to the definitions is removed or "cleansed
Data vault modeling - Wikipedia
wikipedia.org
Summary
A data vault is a data modeling design pattern used to build a data warehouse for enterprise-scale analytics. The data vault has three types of entities: hubs, links, and satellites.
What is a Data Vault? - Databricks
databricks.com
One of the benefits of using the Data Vault 2.0 architecture is that it was designed from inception not only to accept data loaded using traditional batch mode (which was…
Building a Real-Time Data Vault in Snowflake
snowflake.com
Any data the user creates or owns. The term user data may be used to emphasize that the data were created and owned by the user .
Definition of user data | PCMag
pcmag.com
The Snowflake Data Vault User Group gets together quarterly to share best practices and network with other Snowflake users and data enthusiasts in the industry. Whether you are just starting…
Data Vault | Snowflake User Groups
snowflake.com
A data mart (as noted above) is a focused version of a data warehouse that contains a smaller subset of data important to and needed by a single team or…
What is a Data Mart | IBM
ibm.com
