Getting Started How to avoid the merge hell, speed up delivery of business value, reduce defects, and live happily ever after in your data warehouse. Faster development, fewer defects on deployment to production with trunk-based development in data workflows. Image by the author. “We needed an extra day to merge the transformation branches together”, “Ah yeah but there was a bug once we finally got the data to production, so we had to redo some stuff for another 2 days”,… sound familiar? To me, it seems like data and analytics engineers are particularly prone to run into the “merge hell” or […]