#145 From Failwhale to Massive Scale and Beyond: Learnings on Fixing Data Team Bottlenecks - Interview w/ Dmitriy Ryaboy
Data Mesh Radio - Podcast autorstwa Data as a Product Podcast Network
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Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.Dmitriy's Twitter: @squarecog / https://twitter.com/squarecogThe Missing README book: https://themissingreadme.com/Building Evolutionary Architectures book: https://www.oreilly.com/library/view/building-evolutionary-architectures/9781491986356/In this episode, Scott interviewed Dmitriy Ryaboy, CTO at Zymergen and co-author of the book The Missing README.Some key takeaways/thoughts from Dmitriy's point of view:Organizational design and change management is "like a knife fight" - you are going to get cut but if you do it well, you can choose where you get cut. There is no perfect org, and there will be pain somewhere but you can influence what will hurt, and make it not life-threatening.There is too much separation between data engineering and software engineering. Data engineering is just a type of software engineering with a focus on dealing with data. We have to stop treating them like completely different practices.When communicating internally, always focus on telling people the why before you get to the how. If they don't get why you are doing it, they are far less likely to be motivated to address the issue or opportunity. This applies to getting teams to take ownership of the data they produce, but also to everything else. There is often a rush to use tech over talk. Conversation is a powerful tool and will set you up so your tools can help you address the challenges once people are aligned. Paving over challenges with tech will not go...