This document discusses integrating big data in the banking sector to speed up analytical processes. It proposes developing a Hadoop data warehouse using ETL tools to integrate heterogeneous banking data from various sources into a single format and location. A multi-dimensional data model using star and snowflake schemas would be designed. Data would be extracted from sources, transformed and loaded into a staging area, then into the data warehouse. This would allow generating reports faster for business analysis, forecasting and developing strategies to enhance the bank's objectives.