Notes on Data Warehousing

Definition: Data science is the process of collecting, integrating, analyzing, and interpreting data from multiple sources to extract actionable insights. It enables organizations and individuals to organize large volumes of current and historical data for efficient modeling, prediction, and decision-making.

 

- The concept was popularized by Bill Inmon, often called the Father of Data Warehousing. Another major contributor is Ralph Kimball, who proposed a dimensional modeling approach.  

 

- Data warehouse is like a relational database designed for analytical needs. It functions on the basis of OLAP (Online Analytical Processing). It is a central location where consolidated data from multiple locations (databases) are stored. 

 

Goal of DW: Data warehouses serve as a unified source of truth by consolidating data from various operational systems, thereby removing silos and guaranteeing consistency throughout the organization. 

 

They facilitate business intelligence (BI) by allowing efficient queries of both historical and current data, which supports trend analysis and informed decision-making. Improved data quality is attained through ETL processes that cleanse, transform, and standardize data, minimizing errors to provide reliable insights.

 

Source: Reference URL