This month, our blog post will take a slightly different tone than our normal publications due to the current Covid-19 pandemic and its paralyzing effect on many areas of public…
Read MoreIn January of this year, we published a piece detailing an approach to handle deletes and business key changes of relationships in Data Vault without having an audit trail in…
Read MoreWatch the Webinar There are many Data Warehousing challenges that Organizations and Data Warehousing Teams are struggling with. In this short one-hour webinar, we will talk about some major challenges…
Read MoreWithin a hybrid data warehouse architecture, as promoted in the Data Vault 2.0 Boot Camp training, a data lake is used as a replacement for a relational staging area. Thus,…
Read MoreAs we first introduced within the first part of the Data Vault Use Cases article series, the Enterprise Data Warehouse (EDW) can do more than just simple reporting and dashboarding. …
Read MoreThe previous articles within this series have presented hub and link entities to capture business keys as well as the relationships between business keys. To illustrate, the hub document collection…
Read MoreThe last article within our series recently covered the Data Vault hub entity which is used to capture distinct list of business keys in an enterprise data warehouse as most…
Read MoreWithin this part of our ongoing blog series, we would like to introduce a sample data set based upon insurance data. This data set will be used to explain the…
Read MoreIn continuing our ongoing series, this piece within the blog series will describe the basics of querying and modifying data in MongoDB with a focus on the basics needed for…
Read MoreA common requirement for enterprise data warehousing is to provide an analytical model for information delivery, for example in a dashboard or reporting solution. One challenge in this scenario is…
Read MoreData Lake Structure The organization of data within a data lake can significantly impact downstream accessibility. While offloading data into the data lake is a straightforward process, the real challenge…
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