Data Mesh Radio

A podcast by Data as a Product Podcast Network - Mondays

Categories:

410 Episodes

  1. #44 A Pragmatic Approach to Getting Started with Data Mesh at Northern Trust - Interview w/ Khanh Chau

    Published: 3/21/2022
  2. Weekly Episode Summaries and Programming Notes - Week of Mar 20, 2022 - Data Mesh Radio

    Published: 3/20/2022
  3. #43 Applying Resilience Engineering Practices to Scale Data Sharing - Interview w/ Tim Tischler

    Published: 3/18/2022
  4. #42 Self-Serve Consumption Means Empowerment, Not Chaos - Interview w/ Ust Oldfield

    Published: 3/15/2022
  5. #41 Winning Over Application Developers: Agency not Autonomy - Interview w/ Jessitron (AKA Jessica Kerr)

    Published: 3/14/2022
  6. Weekly Episode Summaries and Programming Notes - Week of Mar 13, 2022 - Data Mesh Radio

    Published: 3/13/2022
  7. #40 Getting Data-as-a-Product Right and Other Learnings From Adevinta's Data Mesh Journey - Interview w/ Xavier Gumara Rigol

    Published: 3/11/2022
  8. #39 Driving Buy-In for Data Mesh - Mesh Musings 7

    Published: 3/9/2022
  9. #38 Pursuing "Platform Thinking" Through Data Mesh - Interview w/ Eric Broda

    Published: 3/8/2022
  10. #37 Building a Self-Serve Platform Developers Will Actually Use - Interview w/ Audun Fauchald Strand and Gøran Berntsen

    Published: 3/7/2022
  11. Weekly Episode Summaries and Programming Notes - Week of Mar 5, 2022 - Data Mesh Radio

    Published: 3/6/2022
  12. #36 Is "Data at the Core" the Way To Develop Applications - More on Data-Centric Application Development - Interview w/ Dave McComb

    Published: 3/4/2022
  13. #35 Data Mesh Anti-Patterns - Mesh Musings 6

    Published: 3/2/2022
  14. #34 Tackling Challenges Together at Talkdesk: An Early Journey Story – Interview w/ José Cabeda

    Published: 3/1/2022
  15. #33 10 Reasons Why You Aren’t Ready for Data Mesh Article – Interview w/ Thinh Ha

    Published: 2/28/2022
  16. Programming Notes - Week of Feb 27, 22 - Data Mesh Radio

    Published: 2/27/2022
  17. #32 Applying a Historical Lens to Data Mesh - Interview w/ Azmath Pasha

    Published: 2/25/2022
  18. #31 Cliché Quips and Useful Advice - nib Group's Data Mesh Journey So Far - Interview w/ Kurt Gardiner

    Published: 2/22/2022
  19. #30 Don't Sleep on the User Experience in Data Mesh - Interview w/ Karen Passmore and Steve Stesney

    Published: 2/21/2022
  20. #29 Early Learnings from and Replacing CDC with Data Contracts - Interview w/ Andrew Jones

    Published: 2/18/2022

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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