#220 Building Your Early Mesh Data Platform and Data Product Capabilities - Interview w/ Manisha Jain
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 (most interviews from #32 on) hereProvided 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.Manisha's LinkedIn: https://www.linkedin.com/in/evermanisha/'A streamlined developer experience in Data Mesh' articles by Manisha: Part 1 - Platform: https://www.thoughtworks.com/insights/blog/data-strategy/dev-experience-data-mesh-platformPart 2 - Product: https://www.thoughtworks.com/insights/blog/data-strategy/dev-experience-data-mesh-productArticle on Lean Value Tree: https://rolandbutler.medium.com/what-is-the-lean-value-tree-e90d06328f09Blog post on mentioned data mesh workshops: https://martinfowler.com/articles/data-mesh-accelerate-workshop.htmlIn this episode, Scott interviewed Manisha Jain, Data Engineer at Thoughtworks.Some key takeaways/thoughts from Manisha's point of view:Manisha's top 3 pieces of early mesh journey advice: A) put together a specification of what a data product is, make it clear. Your definition will evolve/improve but if people don't understand the building blocks, it's going to be hard to build value. B) start to create standardized input and output ports because that is how data products - your units of value - actually exchange value. C) make it easy to discover...
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Interviews with data mesh practitioners, deep dives/how-tos, anti-patterns, panels, chats (not debates) with skeptics, "mesh musings", and so much more. Host Scott Hirleman (founder of the Data Mesh Learning Community) shares his learnings - and those of the broader data community - from over a year of deep diving into data mesh.
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