Category: Type

Each year, medical errors in the US alone claim 100,000 lives. This alarming statistic highlights the importance of maintaining data quality in healthcare. As healthcare data volume increases, ensuring the accuracy and completeness of the information obtained has become a…

Dimensional modeling is still the most reliable modeling approach for designing a data warehouse for reporting use cases. Its denormalized structure significantly improves query performance, allowing for fast and seamless data consumption and reporting. The dimensions in a model-centric data…

Data Vault 2.0 modeling methodology has gained immense popularity since its launch in 2013. It’s a hybrid model that combines the benefits of Third Normal Form (3NF) and star schema architectures, making it a dream solution for data warehousing engineers….

Modern, data-driven organizations use data warehouse architectures to power their analytics and business intelligence initiatives.