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#2 Intro to Data Mesh – Mesh Musings #1
Episode 211th December 2021 • Data Mesh Radio • Data as a Product Podcast Network
00:00:00 00:39:32

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Host Scott Hirleman gives some helpful context around how to think about data mesh including

  1. The onion/parfait model: a layered look at data mesh - core is the data products, 2nd layer is the platform and enablement of domains, and 3rd is the data culture aspects
  2. Supermarket/Grocery Store analogy: rather than having a bunch of raw ingredients or having to forage/hunt for food, supermarkets have sourced the food and included a ton of metadata around it for you. They have organized it into domains (departments) even. It makes for a better and more reliable shopping experience - are you looking for a data shopping experience? :D
  3. Maximizing context AND maximizing usability: historically, we have had to choose between context or usability - accessibility, understandability, quality, interoperability, etc. - at the broader organization level. Data mesh is attempting to do both and then also lowering the bar to using the data for consumers.
  4. Stretching or Training analogy: athletes prepare ahead of time to be able to compete and react on the field as circumstances change. If we prepare the data in such a way that we are prepared for anything, not just for what we thought was going to happen, how might that lead to better outcomes?

Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him at community at datameshlearning.com or on LinkedIn: https://www.linkedin.com/in/scotthirleman/

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf

Data Mesh Radio is brought to you as a community resource by DataStax. Check out their high-scale, multi-region database offering (w/ lots of great APIs) and use code DAAP500 for a free $500 credit (apply under "add payment"): AstraDB

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