Data Version Control in Analytics DevOps Paradigm

The primary mission of DevOps is to help the teams to resolve various Tech Ops infrastructure, tools and pipeline issues. At the other hand, as mentioned in the conceptual review by Forbes in November 2016, the industrial analytics is no more going to be driven by data scientists alone. It requires an investment in DevOps skills, practices and supporting technology to move analytics out of the lab and into the business. There are even voices calling Data Scientists to concentrate on agile methodology and DevOps if they like to retain their jobs in business in the long run. The eternal dream of almost every Data Scientist today is to spend all (well, almost all) the time in the office exploring new datasets, engineering decisive new features, inventing and validating cool new algorithms and strategies.