Kimball-style dimensional modeling has been the go-to architecture for most data warehouse developers over the past couple of decades. The denormalized nature of these schemas, coupled with optimization for history maintenance, makes the dimensional model an ideal tool for the […]
Category: Data Warehousing
Data Warehousing: Stepping into the Future
Data warehouses have long served as a single source of truth for data-driven companies. But as data complexity and volumes increase, it’s time to look beyond the traditional data ecosystems. In today’s digitized era, organizations must adapt to the evolving […]
What’s the Best Data Warehouse Architecture for Reporting?
Most enterprises out there rely on a data warehouse as a single source of truth — a consolidated data repository that serves as a reporting layer for companies to identify trends and gain valuable business insights. However, to maximize performance […]
Incredible Data Statistics, Facts, and Trends (Updated for 2023)
There are two types of decision-makers: those who make decisions based on assumptions and those who take actions based on facts. From a logical and statistical perspective, the latter category makes better choices that help their organizations develop and grow. […]
Dimensional Modeling is Relevant… And That’s a Fact!
In 1996, Ralph Kimball introduced the world to dimensional modeling for building data warehouses. Designed to optimize databases for storage and faster data retrieval, the bottom-up approach became quite popular. Thus, organizations increasingly started using a dimensional data model to […]