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Validation of Relationships in Data Vault 2.0 There are different ways of handling validation of relationships from source systems depending on how the data is delivered, (full-extract or CDC), and…
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It’s a Match! Data integration with Salesforce can be tricky and is in dire need of a system of business intelligence to handle that complexity. Data Vault is capable of…
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The Basis for solid decision-making In making business decisions whether daily or long term, the quality of data is a critical facet to factor into these decision-making processes. Thus, the…
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Many people already know the three layer architecture of data warehouses which is used in Data Vault 2.0. The first layer represents the staging area which holds the raw data…
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New Possibilities with Data Vault 2.0 Data Vault 2.0 empowers organizations to go beyond traditional reporting by unlocking new avenues for scalability, automation, and data-driven decision-making. From cleansing data and…
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Modeling a Satellite in the instance of any structural changes within the source system Over time, most source systems change. The question is how to absorb these changes into the…
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Satellite splitting criteria plays a vital role in a satellite’s structure. Being such, it is not recommended that the entirety of descriptive data related to a business key should be…
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Naming Conventions in Data Warehousing Throughout this article, we will continue presenting our suggestions for naming conventions in a data warehouse solution, as well as sharing examples for naming standards,…
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In this article we will show you how to use counter records for change or delete practices in Data Vault 2.0. In January of this year, we published a piece…
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The Role of the Enterprise Data Warehouse The Enterprise Data Warehouse (EDW) is no longer limited to reporting and dashboarding; it is a powerful tool for driving business process automation…
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