Data Mesh Radio

Un pódcast de Data as a Product Podcast Network - Lunes

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410 Episodo

  1. #279 Driving Towards a Cohesive Developer Experience - At the Expense of Snowflake and Databricks? - Zhamak's Corner 32

    Publicado: 22/12/2023
  2. #278 Data Contracts for the Rest of Us - Approaching Contracts in Evolving Companies - Interview w/ Ryan Collingwood

    Publicado: 18/12/2023
  3. Weekly Episode Summaries and Programming Notes – Week of December 17, 2023

    Publicado: 17/12/2023
  4. #277 Mesh Momentum Versus Value - What to Choose When and Why - Mesh Musings 57

    Publicado: 15/12/2023
  5. #276 Making Self-Service Actually Work Well Safely - Interview w/ Kate Carruthers

    Publicado: 11/12/2023
  6. Weekly Episode Summaries and Programming Notes – Week of December 10, 2023

    Publicado: 10/12/2023
  7. #275 Panel: Why Data Mesh Needs Digital and Org Transformation - Led by Benny Benford w/ Nailya Sabirzyanova, Iulia Varvara, and Stefan Zima

    Publicado: 8/12/2023
  8. #274 Your Data Platform is a Product, Treat it Like One! - Interview w/ Sean Gustafson

    Publicado: 4/12/2023
  9. Weekly Episode Summaries and Programming Notes – Week of December 3, 2023

    Publicado: 3/12/2023
  10. #273 An API-First World in Data Integration - An Actual Modern Data Stack - Zhamak's Corner 31

    Publicado: 1/12/2023
  11. #272 Understanding and Valuing Your Organization's Data - Interview w/ Lauren Cascio and Chris Ensey

    Publicado: 27/11/2023
  12. Weekly Episode Summaries and Programming Notes – Week of November 26, 2023

    Publicado: 26/11/2023
  13. #271 The Importance of Repeatability of Language to Scalability - Mesh Musings 56

    Publicado: 24/11/2023
  14. #270 Sustainable Data Transformation to Drive Towards Data Mesh - RBI's Journey So Far - Interview w/ Stefan Zima

    Publicado: 20/11/2023
  15. Weekly Episode Summaries and Programming Notes – Week of November 19, 2023

    Publicado: 19/11/2023
  16. #269 Panel: Leading a Data Mesh Implementation (2nd Iteration) - Led by Vanessa Eriksson w/ Stefan Zima, Duncan Cooper, and Sid Shah

    Publicado: 17/11/2023
  17. #268 Adapting to and Adopting Product Thinking - Transforming Your Org for Sustainable Data Mesh - Interview w/ Iulia Varvara

    Publicado: 13/11/2023
  18. Weekly Episode Summaries and Programming Notes – Week of November 12, 2023

    Publicado: 12/11/2023
  19. #267 The Developer Experience - How Do We Delight Data Developers? - Zhamak's Corner 30

    Publicado: 9/11/2023
  20. #266 Leveraging Decades of Information Architecture Learnings to Do Data Well - Interview w/ Akins Lawal

    Publicado: 6/11/2023

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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

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