Data modeling is a key process in creating conceptual representations of organizational data and its relationships. Focusing on various methodologies like Kimball's, Inmon's, and Data Vault, this guide provides insights into dimensional modeling, including benefits like simplicity, improved query performance, and scalability. It also covers different schema types (star and snowflake), and strategies for data loading. Special attention is given to innovative approaches like using one big table (OBT) for modern data warehouses.
Table of contents
Data Modeling Techniques For Data WarehouseWhat is dimensional modeling?Benefits of dimensional modeling:Data and dimensional modeling methodologiesInmon methodologyData vaultOne big table (OBT)Kimball methodologySort: