Fifteen years. In the world of human history, it is a blink of an eye. In the world of technology—specifically in Data Science, Data Engineering, and Artificial Intelligence—it is an entire epoch. As Dion Research celebrates its 15th anniversary, we find ourselves reflecting not just on our own growth, but on the seismic shifts in the technological landscape that have defined our work. When we first opened our doors, the tools we use today were either in their infancy or didn't exist at all. To understand where we are going, it’s worth looking back at how far we’ve come. The Evolution of the Data Stack 🧬 Data Science: From Static Scripts to Interactive Discovery Fifteen years ago, data science was often a niche discipline. We relied heavily on R and early versions of Python; the concept of a "Data Scientist" was barely a coined term. Since then, we’ve witnessed a revolution in accessibility and power. The rise of Jupyter Notebooks transformed how we experiment, moving u...
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