Data Warehouse Series: Fundamental Concepts and Definitions

A data warehouse is a central repository that businesses use to store, manage, and analyze large sets of data. In this series, we will explore the definition, history, fundamental concepts, and strategic advantages of data warehouses for businesses.

Part 1: Definition and History of Data Warehouses

Definition of a Data Warehouse

A data warehouse is a centralized system where data from various sources is collected, stored, and analyzed. Data warehouses facilitate the integration, cleansing, and consolidation of data, making it meaningful and accessible for decision-makers. These warehouses are typically designed to support business intelligence and analytical processes.

History

The concept of data warehousing emerged in the late 1980s and early 1990s. Bill Inmon, known as the “father of the data warehouse,” established fundamental principles in this field. According to Inmon, a data warehouse is a “subject-oriented, integrated, time-variant, and non-volatile collection of data.” Ralph Kimball offered a different approach, emphasizing dimensional modeling in data warehouse design.

Part 2: Differences Between Data Warehouses and Databases