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Data Quality Testing In today’s data-driven world, poor data quality can lead to costly mistakes. From misguided strategic decisions to operational inefficiencies and poor customer experiences, the impact of bad…
Read MoreBusiness 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…
Read MoreData 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…
Read MoreUnderstanding 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…
Read MoreHow 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…
Read MoreWhy 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…
Read MoreData 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…
Read MoreWatch the Video PIT and Bridge Tables In this blog post, we will answer a commonly asked question regarding PIT and Bridge Tables: In the Data Vault architecture, is it…
Read MoreEU 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…
Read MoreWatch the Video The Problem Adopting a thoughtful approach to Hash Diff calculation can minimize manual maintenance, ensure data consistency, and optimize storage. Our question comes from a project where…
Read MoreUnlocking 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…
Read MoreHow 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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