Most data science solutions make data teams choose between flexibility for exploration and rigidity for production. As a result, data scientists often need to hand off their work to engineering teams that use a different technology stack and essentially rewrite their work in a new environment. This is not only costly but also delays the time it takes for a data scientist’s work to deliver value to the business.
Source : https://databricks.com/blog/2021/03/16/productionize-data-science-with-repos-on-databricks.html
Date : March 16, 2021 at 04:27PM
Tag(s) : #DATA ENG
