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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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Visual Example of a Data Vault Modeling With the addition of architecture and process definitions in Data Vault 2.0, Dan Linstedt has standardized Data Vault modeling. Based on these standardized…
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Hash Keys in DV2.0 Data Vault 2.0 introduces hash keys to enhance the traditional Data Vault model, bringing several advantages to data warehousing. Hash keys do not only speed up…
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Introduction to Non-Historized Links Non-historized links, also known as Transaction Links, are one of the nuts and bolts of the Data Vault 2.0 framework, but how do they work within…
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