The integral roles of data engineering, data science, and data analytics – life learnings

At the beginning of this chapter, I introduced you to the idea of leading data delivery and addressing data needs through data operations as an agile, flexible, and scalable capability. Yet the world of data platforms and engineering excellence is not so obvious and is even contradictory to a major extent. Why would you concern yourself with the complexity of data operations if all you need, perhaps, is a well-built modern data mesh platform with all its classy capabilities to shape and address any demand?

Well, the answer here is two-fold.

It is about evolution, and it is about being practical with your solutions.

Absolutely and certainly, from the very beginning and through the many moments of our journey, it was tempting to lead the whole data work with data engineering and data science in mind and align everything else with it after the fact. You are likely to hear about the...