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Episode 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.

Matt's contact info:

LinkedIn: https://www.linkedin.com/in/matthewdarwindba/

Twitter: @EvoDBA / https://twitter.com/EvoDBA

Matt's post on platform reuse: https://medium.com/slalom-data-analytics/data-mesh-is-the-argument-a-strawman-3cffaf55ce5e

Matt's LinkedIn poll on testing data pipelines: https://www.linkedin.com/feed/update/urn%3Ali%3Aactivity%3A6877216459458719744/

In this episode, Matthew Darwin, Principal Data Engineer at Slalom Consulting, and Scott cover a wide range of topics including:

Re an article Matt had posted on data platform re-use and shifting data ownership left:

• You can re-use the technologies you already know and love when building a data platform - there is literally no good reason to toss those out the window
• If your existing setup enables domains to easily transform, serve, and store their data, sure use your existing configuration; if not, there will need to be changes
• Your data platform will need to evolve and it is okay to start with a bit of an underwhelming data platform

Other nuggets and interesting topics:

• Insights from direct client engagements doing data mesh
• What makes for a good data mesh PoC
• The usefulness of data product blueprints
• How data mesh is still bleeding edge and is therefore not for everyone
• Slowing down to move faster / the long-term negatives of always looking for quick wins
• Why you can't just expose your operational data model as a data product
• The importance of data product interoperability - even at the PoC phase
• How crucial the organizational aspects of data mesh really are
• Much more

Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him 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

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