How can data warehouse automation support agile and iterative development processes and methodologies?
Data warehouse automation (DWA) is the process of using software tools and best practices to design, develop, deploy, and maintain data warehouses and related components. DWA can help you streamline and simplify your data warehouse architecture, reduce errors and risks, and increase productivity and quality. But how can DWA support agile and iterative development processes and methodologies, which are widely adopted in modern software engineering? In this article, we will explore some of the benefits and challenges of using DWA in agile and iterative contexts, and provide some tips and recommendations for successful implementation.