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Virtualization in the Data Vault In legacy or traditional data warehousing, a common strategy involves materializing data marts, also known as information marts, to enhance performance. However, this approach comes…
Read MoreWatch the Webinar Data Vault and Snowflake in combination are constituting flexible and scalable Enterprise Data Warehouse solutions. Attendees will get insights about building and loading a GDPR-compliant Data Lake…
Read MoreLoading Strategies In the realm of general data warehousing, various loading strategies come into play. One prevalent challenge often encountered is the absence of deleted records within a delta. 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 MoreData Lake Structure - Solution 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…
Read MoreREQUIREMENTS FOR HASHING Traditional data warehouses often use sequence numbers to identify records in other tables. By using sequences, this method comes with some drawbacks. One of the biggest drawbacks…
Read MoreData Security Concepts The focal point of our discussion revolves around critical aspects such as security controls, access controls, and the definition of identities. The primary objective of this solution…
Read MoreNaming Conventions Data Vault modeling is a powerful approach that introduces a multitude of entities to the database. To enhance usability and facilitate effective development, it is highly advisable to…
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 MoreDescriptive Attribute Hubs and Links provide a distinct list of all business keys ever recognized by the data warehouse. They are not end-dated and don't provide any information about the…
Read MoreGet the Book In the fast-paced world of data management, staying ahead is not just an advantage – it's a necessity. For those eager to master the art of constructing…
Read MoreGet the Book In the dynamic landscape of data science, a reliable guide is essential for navigating the complexities of data architecture. Enter "Data Architecture: A Primer for the Data…
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