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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...

Data Foundation Guide: What It Is, Key Components and Benefits

Data Foundation Guide: What It Is, Key Components and Benefits

A data foundation is a roadmap for how data from a variety of sources will be compiled, cleaned, governed, stored, and used. A strong data foundation ensures organizations get high-quality, consistent, usable, and accessible data to inform operational improvements and...

Data Automation: What It Is, Benefits, and Tools

Data Automation: What It Is, Benefits, and Tools

What Is Data Automation? How It Works, Benefits, and How to Choose the Best Platform Data automation has quickly become one of the most important strategies for organizations that rely on data-driven decision-making.  By reducing the amount of manual work...