Deep in the heart of data // Carl Steinbach // MLOps Coffee Sessions #22
Coffee Sessions #22 with Carl Steinbach of LinkedIn, Deep in the Heart of Data. //Bio Carl is a Senior Staff Software Engineer and currently the Tech Lead for LinkedIn's Grid Development Team. He is a contributor to Emerging Architectures for Modern Data Infrastructure //Other links referenced by Carl: https://rise.cs.berkeley.edu/wp-content/uploads/2017/03/CIDR17.pdf https://www.youtube.com/watch?v=-xIai_FvcSk&ab_channel=WePayEngineering https://softwareengineeringdaily.com/2019/10/23/linkedin-data-platform-with-carl-steinbach/ https://www.slideshare.net/linkedin/carl-steinbach-open-source https://dreamsongs.com/RiseOfWorseIsBetter.html https://engineering.linkedin.com/blog/2017/03/a-checkup-with-dr--elephant--one-year-later https://engineering.linkedin.com/ https://engineering.linkedin.com/blog/2018/11/using-translatable-portable-UDFs https://a16z.com/2020/10/15/the-emerging-architectures-for-modern-data-infrastructure/ --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/ Connect with Carl on LinkedIn: https://www.linkedin.com/in/carlsteinbach/ Timestamps: [00:00] Introduction to Carl Steinbach [00:44] Carl's background [04:51] Breakdown of Transpiler [10:55] Advantages of Decoupling the Execution Layer [15:25] Differences between UDF (user-defined function) Functions and Views [18:45] How do you ensure the reproducibility of these Views? [23:58] Data structure evolution [27:55] Are Data Lakes and Data Warehouse fundamentally different things or are they on a path towards conversion? [33:37] It's inevitable that people will start doing machine learning on databases [36:01] Who gets permission on what, especially when it comes to data and how sensitive things can be? [41:27] Security aspect of data [43:40] Does it require a level of obstruction on top of the data of the file system? [45:48] Why do we go back and go forward which sets this trend?