Discussion — Where is the Data Engineering industry headed in future?

The convergence of Data Engineering and Software Engineering has been a transformative trend in the data industry, and it’s clear that this integration is only deepening. Over the years, we’ve seen a shift from rigid, imperative processes to more flexible, declarative approaches. Data pipelines are now treated as first-class citizens in software development workflows, with robust CI/CD pipelines, version control, and health monitoring.

As every tool keeps getting higher level, the importance of being able to turn human problems into technical solutions will keep becoming more important than low-level technical tool mastery.

This evolution has enabled us to refactor and modularize key components of data engineering, such as cataloging, transformations, query compute, storage, data profiling, lineage, and tagging. As a result, we’ve unlocked new levels of configurability and innovation.

🚀The First evolution of data engineering, specifically in the context of scalable data querying. Here’s a clearer breakdown:

1. Scalability & Distribution: Before 2004, traditional SQL databases handled…