In our trainings and consulting practice, we often pitch the idea of "focusing on the business value" to the audience. Business value in enterprise data warehousing is defined as "something…
Just a Recommendation...how we Organize our Information Requirements Information is required by business users throughout the industry. However, as part of our consulting engagements, we also encounter a lack…
In the Data Vault 2.0 architecture, information marts are used to deliver information to the end-users. Conceptually, an information mart follows the same definition as a data mart in legacy…
The Business Vault is the layer in the Data Vault 2.0 architecture where business logic is implemented to transform, cleanse and modify the data. The book "Building a Scalable Data…
One common requirement in data warehouse projects is to provide data lineage from end-to-end. However, custom solutions (for example custom Meta Marts for self-developed Data Vault generators) or tools from…
With the advent of Data Vault 2.0, which adds architecture and process definitions to the Data Vault 1.0 standard, Dan Linstedt standardized the Data Vault symbols used in modeling. Based…
One of the most obvious changes in Data Vault 2.0 is the introduction of hash keys in the model. These hash keys are highly recommended because of the many advantages.…
When Dan Linstedt, co-founder of Scalefree, invented the Data Vault, he had several goals in mind. One of the goals was to load data as fast as possible from the…
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