There are elegantly simple principles that we frequently overlook and fail to follow. Why does this happen?

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The post highlights the importance of simplicity and composability in data engineering, drawing lessons from decades of industry experience. It discusses the Unix philosophy of treating data as files, the evolution of databases and NoSQL, and the complexity introduced by new ecosystems like Hadoop and Kubernetes. The post also critiques the over-complication of agile methodologies and stresses the necessity of adhering to fundamental principles to maintain flexibility and long-term value in software systems.

Embracing Simplicity and Composability in Data Engineering

Trust in principles and architecture, not products and rituals