MLOps meetup #12 // Why Data Scientists Should Know Data Engineering with Dan Sullivan

MLOps meetup #12 // What are the advantages for a data scientist to know data engineering?  Join the Community: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTJoinIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get the newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTNewsletterWhat good is learning Data Engineering skills? These days full full-stack is overflowing with all the different things you need to know about, so why learn data Engineering now? Our guest on this meetup will make the case for what the advantages are if you do decide to learn data engineering, and also go into depth on how to do data engineering in the cloud.  Dan Sullivan is a software architect and data scientist with extensive experience in big data, machine learning, data architecture, security, stream processing, and cloud architecture. Dan is the author of the official Google Cloud study guides for the Professional Architect, Professional Data Engineer, and Associate Cloud Engineer exam guides, as well as NoSQL for Mere Mortals.  He is also the author of over ten LinkedIn Learning courses on data science, machine learning, SQL, data architecture, and NoSQL. He holds a Ph.D. in genetics, bioinformatics, and computational biology.  Get a copy of his new book here: https://www.wiley.com/en-us/Official+Google+Cloud+Certified+Professional+Data+Engineer+Study+Guide-p-9781119618454  Join our Slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://zoom.us/webinar/register/WN_a_nuYR1xT86TGIB2wp9B1g  Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Dan Sullivan on LinkedIn: https://www.linkedin.com/in/dansullivanpdx/