DEVELOPMENT OF A HYBRID METHOD FOR DATA WAREHOUSE CONSTRUCTION

Abstract

The examined approach to building an adaptive and convenient data warehouse goes beyond simple data storage focusing on processing data for various types of reports and analytics. It allows for more efficient use of data resources and ensures a flexible response to changing business needs. This hybrid method combines several techniques and technologies to provide the best possible performance and scalability. The article discusses the main challenges and benefits of this approach and presents a detailed analysis of the architecture and components of the proposed data warehouse system. The results show significant improvements in data processing speed and accuracy compared to traditional methods. Key words: data warehouse hybrid method data processing scalability.