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Non-Functional Requirements in Data Warehousing The enterprise data warehouse is more than just reports and dashboards. There are actually more technical components, also know as non-functional requirements, to be built.…
Read MoreJust 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…
Read MoreInformation Marts in Data Vault 2.0 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…
Read MoreThe 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…
Read MoreOne 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…
Read MoreVisual 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…
Read MoreHash 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…
Read MoreNon-Historized Links in Data Vault 2.0 Non-historized links in Data Vault 2.0 simplify data modeling by focusing on current relationships instead of historical changes. This improves efficiency, reduces complexity, and…
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