Back in 2017 we introduced the link structure with an example of a Data Vault model in the banking industry. We showed how the model looks like when a link...
Mehr lesenData 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...
Mehr lesenSkilled modeling is important to harness the full potential of Data Vault 2.0. To get the most out of the system due to scalability and performance, it also has to...
Mehr lesenA problem that occurs when querying the data out of the Raw Data Vault happens when there are multiple satellites on a hub or a link:In the above example, there...
Mehr lesenThe 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...
Mehr lesenFocus 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...
Mehr lesenSchauen Sie über Scrum hinaus und erfahren Sie, wie Sie den Wert von Data Vault 2.0-Projekten steigern können. Anfang des Jahres haben wir über Managed Self-Service BI gesprochen, um zu erklären, wie Geschäftsanwender...
Mehr lesenThe 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...
Mehr lesen"Big Data", "Data Lake", "Datensumpf", "Hybride Architektur", "NoSQL", "Hadoop" ... Begriffe, mit denen man heutzutage sehr oft konfrontiert wird, wenn man sich mit Daten beschäftigt. Außerdem stellt sich die Frage...
Mehr lesenLast 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...
Mehr lesenBusiness users expect from their data warehouse systems to load and prepare more and more data, regarding the variety, volume, and velocity of data. Also, the workload that is put on...
Mehr lesenData Vault 2.0 is a concept for data warehousing, invented by Dan Linstedt. It brings many new features that help anyone who is concerned with Business Intelligence entering a new...
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