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To all those that have been a part of the Scalefree journey up until this point, We’d first and foremost like to thank you for all the contributions you have…
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Enterprise Data Warehouses with Data Vault 2.0 While Enterprise Data Warehouses (EDWs) are traditionally used for reporting and dashboarding, with Data Vault, their true potential lies far beyond these basic…
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An initial decision of critical importance within Data Vault development relates to the definition of naming conventions for database objects. As part of the development standardization, these conventions are mandatory…
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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…
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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 a great impact on the…
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Insert 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…
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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 Time Tables Tables In…
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The 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…
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Focus 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…
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Looking 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…
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The 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…
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“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…
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