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What Are Bridge Tables? Bridge tables are special entities within the Data Vault that leverage query performance on the way out of the Data Vault. These entities are placed between…
Read MoreAlternative to the Driving Key There is a special case when a part of the hub references stored in a link can change without describing a different relation. This has…
Read MoreData Tests Testing is very important for data warehouse systems to make them work correctly and efficiently. In unit testing, each component is separately tested. By testing business logic using…
Read MoreInsert Only in Data Vault 2.0 Skilled modeling is important to harness the full potential of Data Vault 2.0. To get the most out of the system due to scalability…
Read MorePoint in Time Tables Point in time tables are useful when querying data from the Raw Vault that has multiple satellites on a hub or a link: About Point In…
Read MoreThe latest story to find itself added to the growing number of successful implementations of Scalefree’s services, and Data Vault 2.0 as a whole, centers around a sector known for…
Read MoreFocus on trends: Data Lake and no-sql, dwh architecture, self-service bi, modeling and gdpr In the past, we wrote about topics we were confronted with when we consult our clients…
Read MoreLooking beyond Scrum and learn how to increase the value in Data Vault 2.0 projects Earlier this year we talked about Managed Self-Service BI to explain how business users can…
Read MoreThe new General Data Protection Regulation (GDPR) is a law by the European Union (EU) and became effective on May 25, 2018. This new regulation is designed to put a…
Read More“Big Data”, “Data Lake”, “Data Swamp”, “Hybrid Architecture”, “NoSQL”, “Hadoop” … terms you are confronted with very often these days when you are dealing with data. Furthermore, the question comes…
Read MoreLast month we talked about a hybrid architecture in Data Vault 2.0, where we explain how to combine structured and unstructured data with a hybrid architecture. To follow up on this…
Read MoreHybrid Architecture in Data Vault 2.0 Business users expect their data warehouse systems to load and prepare more and more data, regarding the variety, volume, and velocity of data. Also,…
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