The International Journal of Data Warehousing (IJDW) is a peer-reviewed, open-access journal that focuses on the latest research and developments in data warehousing, big data analytics, and database management systems. The journal provides a platform for researchers, industry professionals, and academics to share innovative solutions and theoretical advancements related to the design, implementation, and optimization of data warehouses. Moreover, IJDW welcomes original research articles, review papers, case studies, and technical reports covering a broad range of topics. These include data integration, data mining, ETL (extract, transform, load) processes, cloud-based data warehousing, real-time analytics, and data quality management. As a result, the journal serves as a comprehensive resource for both theoretical and practical aspects of data warehousing.