As data warehousing technologies continue to grow in demand, creating effective data models has become increasingly important. In particular, optimizing online transactional processing (OLTP) data models—which define the structural relationships between normalized tables and entities—for efficient transactional processing is crucial.  However,…

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…

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…

The primary purpose of a 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 your data warehouse. Learn…

Modern enterprises are changing their approach toward data warehousing due to rapidly evolving business environments and a massive influx of data being generated every day. Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional…