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Business Use Cases in Data Vault In the world of data management and integration, businesses face many challenges. Data Vault is a methodology designed to address these challenges, offering a…
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Data Mesh and Data Vault 2.0 The Data Mesh paradigm is revolutionizing how organizations manage and utilize their data. By decentralizing data ownership and treating data as a product, businesses…
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Understanding GDPR in the Context of Data Vault GDPR compliance is a critical concern for organizations handling personal data. Data Vault, a well-structured data modeling approach, offers a robust solution…
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How to Explaining Data Vault When introducing Data Vault to business users, it’s important to communicate its value in a way that resonates with them. Instead of focusing on the…
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Why use Data Vault 2.0 to Tackle GDPR? Today, we explore how Data Vault 2.0 can be a powerful tool for addressing the challenges posed by the General Data Protection…
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Data Vault Stages The Data Vault methodology provides a robust framework for managing and organizing enterprise data. One of the foundational components of a Data Vault is the stage. In…
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PIT and Bridge Tables Welcome to another insightful session of Data Vault Friday. In this blog post, we will answer a commonly asked question: In the Data Vault architecture, is…
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EU AI Act Responsible Systems The EU Artificial Intelligence (AI) Act represents a significant step forward in regulating AI technologies across the European Union. Its purpose is to establish a…
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The Problem Our question comes from a project where the source system occasionally delivers new columns for existing tables. When these columns are added to a satellite, the hash difference…
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Unlocking Analytics with Semantic Models and Metrics A semantic model is a layer of abstraction that defines business-friendly terms and metrics on top of raw or transformed data. It bridges…
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How does Data Vault add value when we have the Delta Lake? In the world of modern data management, businesses often find themselves navigating a maze of tools, architectures, and…
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Mastering Semi-Structured Data: Key Approaches and Best Practices Semi-structured data, such as JSON, is increasingly common in modern data ecosystems. But how should you store and handle it? Should you…
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