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…
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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…
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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…
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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…
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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…
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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…
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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.…
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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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