Databricks Community

In the first part of this article, we explored the critical role that version control plays in data science, particularly when using Git within the Databricks environment. We covered the foundational concepts of Git, its integration with popular vers...

In the halcyon days of data science’s youth, version control was an oft-overlooked aspect of the work of data science teams, a “nice-to-have” that was perhaps the domain of hobbyists and enthusiasts. Those coming to data science from a software devel...

Introduction This article describes the key ways in which data scientists can exploit the parallelisation power of Apache Spark™ to optimise their workflows, solve a new set of problems and scale their solutions for production applications. It ident...