In our first post about multi-active satellites, we briefly explained different implementations that can be used to solve multi-activity. Now, we’re going to go into more detail regarding the advantages…
Read MoreWith multi-active satellites, you’re able to store multiple active records for one business key. Depending on how the data arrives from your source, there are different ways to implement multi-activity…
Read MoreThere are many options available when choosing a method to estimate the necessary effort within agile IT projects. In Data Vault 2.0 projects, we recommend estimating the effort by applying…
Read MoreImplementing Data Vault 2.0 ghost records During the development of Data Vault, from the first iteration to its latest Data Vault 2.0, we’ve mentioned the two terms “ghost records” and…
Read MoreWatch the Webinar In this webinar, Michael Olschimke, the CEO of Scalefree, presents how to gain additional advantage from the enterprise data warehouse by making the solution available to power…
Read MoreIn 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…
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 MoreIn 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…
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 MoreWatch the Webinar In general, a data warehouse is a viable data storage solution for all businesses that would like to ensure they receive the most benefit from their data.…
Read MoreA data warehouse is a subject oriented, nonvolatile, integrated, time variant collection of data to support management's decisions Inmon, W. H. (2005). Building the Data Warehouse. Indianapolis, Ind.: Wiley. It…
Read MoreIn Data Vault 2.0, we differentiate data by keys, relationships and description. That said, an often underestimated point is the handling of relationships in Data Vault 2.0. In the following…
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