Dimensional Modeling Dimensional modeling is one of the data modeling techniques used for designing the data warehouses, It also considered a suitable technique for representing analytic data, because it understandably delivers data for users and is optimized for query performance which increases the data retrieval speed. Normalized databases are very useful in transactional processing because […]

Data warehouses have been around since the 80s. Throughout these years, it has proven its capabilities to support decision-making and business analysis. Data warehouses allow the Integrating of many source systems such as databases, spreadsheets, and flat files. Cleansing and Transformation can be applied to these data after integration and then organizes in a way […]

In this video we will go through the main differences between ER modeling and Dimensional modeling by using simple and straight forward examples, and we will understand the importance of dimensional modeling in Data Warehouse design

Dimensions tables are core part of any Data Warehouse modeling. In general dimension tables store details side of any event or business process, for example, for a purchase operation from a retail store we will have dimension tables to store customer information, product information, store information, and so on, on the other hand, Fact tables […]