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. […]
Category: Data Warehouse Automation
2023 Game Plan: Defining Your Data Strategy
Gartner, Inc.’s latest forecast reveals that global IT spending is projected to reach $4.6 trillion in 2023. Despite the impacts of COVID-19 and the looming recession, enterprises will push forward with digital business initiatives and invest in technological advancements. “Enterprises […]
Generating a Physical Database Schema Through Automated Forward Engineering
The primary purpose of your data warehouse is to serve as a centralized repository for historical data that can be quickly queried for BI reporting and analysis. Data modeling — which defines the database schema — is the heart of […]
Designing an Automated Dimensional Model: A Step-by-Step Guide
To begin our exploration of Automated Dimensional Modeling, it’s essential to first gain an understanding of Dimensional modeling. Dimensional modeling is among the most preferred design approaches for building analytics-friendly data warehouses. First introduced in 1996, Kimball’s dimensional data models […]