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What Is a Data Vault? A Complete Guide for Data Leaders

What Is a Data Vault? A Complete Guide for Data Leaders

A data vault is a data modeling methodology designed to handle rapidly changing source systems, complex data relationships, and strict audit requirements that traditional data warehouses struggle to manage.  Unlike conventional approaches that require extensive...

New in 3D 9.0.6.1: The ‘Source Aware’ Release

New in 3D 9.0.6.1: The ‘Source Aware’ Release

When your sources shift beneath you, the fastest teams adapt at the metadata layer. WhereScape 3D 9.0.6.1 focuses on precisely that: making your modeling, conversion rules and catalog imports more aware of where data comes from and how it should be treated in-flight....

Data Vault on Snowflake: The What, Why & How?

Data Vault on Snowflake: The What, Why & How?

Modern data teams need a warehouse design that embraces change. Data Vault, especially Data Vault 2.0, offers a way to integrate many sources rapidly while preserving history and auditability. Snowflake, with elastic compute and fully managed services, provides an...

Data Vault 2.0: What Changed and Why It Matters for Data Teams

Data Vault 2.0: What Changed and Why It Matters for Data Teams

Data Vault 2.0 emerged from years of production implementations, codifying the patterns that consistently delivered results. Dan Linstedt released the original Data Vault specification in 2000. The hub-link-satellite modeling approach solved a real problem: how do you...

Building an AI Data Warehouse: Using Automation to Scale

Building an AI Data Warehouse: Using Automation to Scale

The AI data warehouse is emerging as the definitive foundation of modern data infrastructure. This is all driven by the rise of artificial intelligence. More and more organizations are rushing to make use of what AI can do. In a survey run by Hostinger, around 78% of...

Building a Data Warehouse: Steps, Architecture, and Automation

Building a Data Warehouse: Steps, Architecture, and Automation

Building a data warehouse is one of the most meaningful steps teams can take to bring clarity and control to their data. It’s how raw, scattered information turns into something actionable — a single, trustworthy source of truth that drives reporting, analytics, and...