Data modeling has been a foundational discipline for decades. The data world has a love-hate relationship with it, once considered the cornerstone of any data strategy, it faded into obscurity for nearly a decade, only to make a strong comeback in recent years.

Meanwhile, the rise of modern transformation frameworks has given birth to the role of the analytics engineer. However, despite these advancements, the developer experience for analytics engineers has remained stagnant. They continue to work with IDEs designed for software engineering, despite the distinct nature of their work.

Data professionals working on modeling often find themselves navigating a chaotic jungle of tools: switching between their IDE, the CLI, the data warehouse UI, documentation, and BI tools. This constant context switching takes a toll on efficiency.

Analytics engineers deserve more recognition and better support. It's time to spread some love to this vital yet often overlooked role in the data ecosystem.

Claire and Christophe.