MLOps Coffee Sessions #117 with Chad Sanderson, Head of Product, Data Platform at Convoy, Data Engineering for ML co-hosted by Josh Wills. // Abstract Data modeling is building relationships between core concepts within your data. The physical data model shows how the relationships manifest in your data environment but then there's the semantic data model, the way that entity relationship design is extracted away from any data-centric implementation.   Let's do the good old fun of talking about why data modeling is so important! // Bio Chad Sanderson is the Product Lead for Convoy's Data Platform team, which includes the data warehouse, streaming, BI & visualization, experimentation, machine learning, and data discovery. Chad has built everything from feature stores, experimentation platforms, metrics layers, streaming platforms, analytics tools, data discovery systems, and workflow development platforms. He’s implemented open source, SaaS products (early and late-stage) and has built cutting-edge technology from the ground up. Chad loves the data space, and if you're interested in chatting about it with him, don't hesitate to reach out. // MLOps Jobs board   https://mlops.pallet.xyz/jobs MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links https://odsc.com/speakers/scaling-machine-learning-with-data-mesh/ https://docs.google.com/presentation/d/1rVtltHkRkP_JaGZdkAS3U_SXfr5Gg-RP980FKXh0YNU/edit?usp=sharing Josh Wills will be teaching a course on Data Engineering for Machine Learning in September here: https://www.getsphere.com/ml-engineering/data-engineering-for-machine-learning --------------- ✌️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 Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Josh on LinkedIn: https://www.linkedin.com/in/josh-wills-13882b/ Connect with Chad on LinkedIn: https://www.linkedin.com/in/chad-sanderson/ Timestamps: [00:00] Introduction of the new co-host Josh Wills   [00:54] Introduction to Chad Sanderson [01:46] Josh will lead a course for Machine Learning in mid-September [02:16] Data modeling blog post of Chad [06:10] Idea of Strategy [09:40] Modern cloud data warehouses   [17:01] Layering on contracts [20:38] Scaling at larger companies [25:30] Carrot-stick strategy [34:27] Second and third-order effects [39:53] Stockholm Syndrome [41:22] Quality checks at Slack [45:28] Success in two main ways according to Chad [47:35] Completely and utterly different universes [53:42] Product use case to push semantic events [56:00] Pattern of analysis of the sequence of events [57:23] Wrap up

Chad Sanderson, CEO of Gable.ai, discusses modern data management, data contracts, and the evolving trends in data infrastructure. He explores the importance of aligning data use with business value, transitioning to federated data management models, and the benefits of AWS Trainium and Inferentia. Sanderson introduces 'Gable' as a platform revolutionizing data management processes with live change detection and collaboration tools, emphasizing data integrity and monetization for businesses.

Data quality and data contracts are discussed by Chad Sanderson, an expert in the field. Topics covered include the breakdown of data quality, the concept of data contracts and their value, the tools needed for effective data contracts, and the importance of community in data quality.

Imagine sitting down at a restaurant. Your food is already on the table, and the waiter hands you a menu of different dishes and silverware you can use to consume your meal. That’s a completely backwards experience, but it’s kind of how data architecture works today. We have our data in cheap storage, and then we purchase software that helps us consume it. Is this also wrong? In this special episode, Tim and Juan are joined by Chad Sanderson, Head of Product, Data Platform at Convoy, to discuss whether or not we're incorrectly architecting our modern data stack. This episode will also feature: Lessons learned from Amazon and Facebook on building services before data How to align your data team with business goals Getting data architecture right often requires paying down legacy debt. What’s something you recently purchased that you maybe shouldn't have?

Data expert Chad Sanderson discusses modern data quality and management practices on this podcast. Topics include challenges with the modern data stack, rethinking data catalogs, AI impact on data, incentivizing engineers for data quality, and the role of AI in data semantics. The conversation also touches on data as a product, quantifying the cost of data changes, and the importance of slowing down to go faster in data management.