One thing that you might not realize if you haven\u2019t worked as a data scientist in very large companies is that the problems that arise at enterprise scale (and well as the skills that are needed to solve them) are completely different from those you\u2019re likely to run into at a startup.
\nScale is a great thing for many reasons: it means access to more data sources, and usually more resources for compute and storage. But big companies can take advantage of these things only by fostering successful collaboration between and among large teams (which is really, really hard), and have to contend with unique data sanitation challenges that can\u2019t be addressed without reinventing practically the entire data science life cycle.
\nSo I\u2019d say it\u2019s a good thing we booked Sanjeev Sharma, Vice President of Data Modernization and Strategy at Delphix, for today\u2019s episode. Sanjeev\u2019s specialty is helping huge companies with significant technical debt modernize and upgrade their data pipelines, and he\u2019s seen the ins and outs of data science at enterprise scale for longer than almost anyone.