Data Mesh Radio

A podcast by Data as a Product Podcast Network - Mondays

Categories:

Education Technology

410 Episodes

  1. #28 Domain Driven Design for Data, a Primer - AKA Just Get People to Talk to Each Other - Interview w/ Danilo Sato and Andrew Harmel-Law

    Published: 2/15/2022

  2. #27 Four Key Pillars to Driving Data Mesh Buy-in and Other Insights - Interview w/ Angelo Martelli

    Published: 2/14/2022

  3. Programming Notes - Week of Feb 13, 22 - Data Mesh Radio

    Published: 2/13/2022

  4. #26 Leveling Up Your Domain Teams w/ Introductory Data and Analytics Engineering – Interview w/ Brian McMillan

    Published: 2/11/2022

  5. #25 The Most Key Data Mesh Takeaway: It's Not Just You - Mesh Musings 5

    Published: 2/9/2022

  6. #24 Getting Started (and Keeping Going) with Your Data Mesh Journey - Interview w/ Sheetal Pratik

    Published: 2/8/2022

  7. #23 Where and How Can Data Virtualization Work in Data Mesh - Interview w/ Dr. Daniel Abadi

    Published: 2/4/2022

  8. #22 Food Fights and the Modern Data Stack re Data Mesh - Interview w/ Dr. Colleen Tartow

    Published: 2/2/2022

  9. #21 Data Mesh in Practice: Insights from Zalando's 2 Year Journey w/ Data Mesh - Interview w/ Max Schultze

    Published: 2/1/2022

  10. Data Mesh Summit Takeover - Programming Notes - Week of Jan 31, 22 - Data Mesh Radio

    Published: 1/31/2022

  11. #20 Domain Driven Design for Data - Where to Start - Interview w/ Piethein Strengholt

    Published: 1/28/2022

  12. #19 Data Mesh in Government: Early Lessons Learned - Interview w/ Bente Busch

    Published: 1/25/2022

  13. #18 Finding (and Sharing) Your Internal Data Pain Points - Interview w/ Molly Vorwerck

    Published: 1/21/2022

  14. #17 Is Data Mesh Right for Your Org (Part 1) - Mesh Musings 4

    Published: 1/19/2022

  15. #16 Data Quality's 4 Horsemen: Omission, Waste, Divergence, and Downtime - Interview w/ Chad Sanderson

    Published: 1/18/2022

  16. #15 Data Definitions and "Durable in the Middle" Model - Interview w/ Benn Stancil

    Published: 1/15/2022

  17. #14 Knowledge First Approach and Reusing Existing Standards for Data Mesh - Interview w/ Juan Sequeda

    Published: 1/11/2022

  18. #13 Is There a Data Mesh Option for Startups and SMEs? - Interview w/ Peter Hanssens

    Published: 1/7/2022

  19. #12 Data-Centric Application Development and Data Mesh - Interview w/ Dan DeMers

    Published: 1/6/2022

  20. #11 The Grinch Who Spoiled Christ-Mesh – 1) Why I Don’t Like Reverse ETL; 2) Dog Fooding; and 3) The Generalist Data Modeler – Mesh Musings 3

    Published: 1/2/2022

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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. Each episode contains a BLUF - bottom line, up front - so you can quickly absorb a few key takeaways and also decide if an episode will be useful to you - nothing worse than listening for 20+ minutes before figuring out if a podcast episode is going to be interesting and/or incremental ;) Hoping to provide quality transcripts in the future - if you want to help, please reach out! Data Mesh Radio is also looking for guests to share their experience with data mesh! Even if that experience is 'I am confused, let's chat about' some specific topic. Yes, that could be you! You can check out our guest and feedback FAQ, including how to submit your name to be a guest and how to submit feedback - including anonymously if you want - here: https://docs.google.com/document/d/1dDdb1mEhmcYqx3xYAvPuM1FZMuGiCszyY9x8X250KuQ/edit?usp=sharing Data Mesh Radio is committed to diversity and inclusion. This includes in our guests and guest hosts. If you are part of a minoritized group, please see this as an open invitation to being a guest, so please hit the link above. If you are looking for additional useful information on data mesh, we recommend the community resources from Data Mesh Learning. All are vendor independent. https://datameshlearning.com/community/ You should also follow Zhamak Dehghani (founder of the data mesh concept); she posts a lot of great things on LinkedIn and has a wonderful data mesh book through O'Reilly. Plus, she's just a nice person: https://www.linkedin.com/in/zhamak-dehghani/detail/recent-activity/shares/ Data Mesh Radio is provided as a free community resource by DataStax. If you need a database that is easy to scale - read: serverless - but also easy to develop for - many APIs including gRPC, REST, JSON, GraphQL, etc. all of which are OSS under the Stargate project - check out DataStax's AstraDB service :) Built on Apache Cassandra, AstraDB is very performant and oh yeah, is also multi-region/multi-cloud so you can focus on scaling your company, not your database. There's a free forever tier for poking around/home projects and you can also use code DAAP500 for a $500 free credit (apply under payment options): https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio