Rethinking Agile in Data Engineering

This chapter examines the unique challenges of leadership in data engineering, questioning the effectiveness of traditional Agile methodologies like two-week sprints for data projects. The speaker discusses the need for flexible timelines that accommodate the complexities of data work while reflecting on the broader implications of applying Agile practices in various industries. With a focus on foundational skills, the chapter advocates for re-evaluating project management approaches in data engineering to prioritize meaningful value creation.