TL;DR: Enterprise data warehouses centralize business data for analysis, but most implementations run over budget and timeline while requiring specialized talent. They unify reporting across departments and enable self-service analytics, yet the technical complexity...
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...
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...
Data Vault modeling enables teams to manage large, rapidly changing data without compromising structure or performance. It combines normalized storage with dimensional access, often by building star or snowflake marts on top, supporting accurate lineage and audit...
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...
October 27–30, 2025 | Nashville, TN | Booth #116 The EDUCAUSE Annual Conference is where higher education’s brightest minds come together to explore how technology can transform learning, streamline operations, and drive student success. This year, WhereScape is proud...
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...
Enterprises choosing Microsoft Fabric want scale, governance, and agility. Data Vault 2.0 (DV2) delivers those outcomes at the modeling level: Agility: add sources fast, without refactoring the core model. Auditability: every change is tracked; nothing is thrown away....
Microsoft Fabric is an undeniably powerful platform. By bringing together OneLake, Fabric Data Warehouse, Data Factory, Power BI and Purview, it creates a unified analytics ecosystem for modern enterprises. But as many teams quickly discover, power often comes with...