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 […]
Tag: Data Warehousing
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 […]
Top 7 Data Management Challenges for Tech Firms and Solutions
Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. These large data volumes present numerous data […]
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 […]