Introduction Welcome back to the latest edition of our Data Vault 2.Go Newsletter, your go-to source for (almost) all things related to the cutting-edge world of data. In this edition,…
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Introduction In the era of big data, organizations rely heavily on data warehouses to store, manage, and analyze vast amounts of information. However, the effectiveness of a data warehouse depends…
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Introduction In this newsletter, we’ll discuss an overview of the possible ways to monitor your solution within an EDW built using Data Vault 2.0. The monitoring approaches below focus on…
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Introduction In this newsletter, we’ll discuss and make an overview of different methods and approaches when performing technical tests of a Data Vault-powered EDW. The testing approaches described below are…
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Introduction Choosing the right technology stack is a critical decision when building an open source powered Enterprise Data Warehouse (EDW). The technology stack consists of various components, including databases, automation…
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Introduction In today's data-driven world, it is essential to be able to manage and organize large amounts of data in an efficient way. Businesses across all industries are forced to…
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In our trainings and consulting practice, we often pitch the idea of "focusing on the business value" to the audience. Business value in enterprise data warehousing is defined as "something…
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A data warehouse is a subject oriented, nonvolatile, integrated, time variant collection of data to support management's decisions Inmon, W. H. (2005). Building the Data Warehouse. Indianapolis, Ind.: Wiley. It…
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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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“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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