Data Mesh Radio

En podkast av Data as a Product Podcast Network

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Utdannelse Teknologi

422 Episoder

  1. #203 Panel: Making Privacy Practical and Scalable in Data and Data Mesh - Led by Debra Farber w/ Samia Rahman and Katharine Jarmul

    Publisert: 10.3.2023

  2. #202 Creating a Balanced, Sustainable Approach to Your Data Mesh Journey - Interview w/ Kiran Prakash

    Publisert: 6.3.2023

  3. Weekly Episode Summaries and Programming Notes – Week of March 5, 2023

    Publisert: 5.3.2023

  4. #201 Choose Your Blast Radius and Other Lessons Learned Across 10s of Data Mesh Implementations - Interview w/ Vanya Seth

    Publisert: 3.3.2023

  5. {Bonus} Zhamak's Corner 19.5 - How Does AI/ML Change When Trust is Automatic?

    Publisert: 2.3.2023

  6. #200 Zhamak's Corner 19 - An AI/ML Future Without So Much (Needless?) Complexity

    Publisert: 1.3.2023

  7. #199 Finishing Your Data Marathon - Driving to Action from Data - Interview w/ Brent Dykes

    Publisert: 27.2.2023

  8. Weekly Episode Summaries and Programming Notes – Week of February 26, 2023

    Publisert: 26.2.2023

  9. #198 How Do We Make Data Contracts Easy, Scalable, and Meaningful - Interview w/ Ananth Packkildurai

    Publisert: 24.2.2023

  10. #197 Explorers Needed, Experts Not (Yet) - Mesh Musings 44

    Publisert: 21.2.2023

  11. #196 Data is a Team Sport - Learning to Collaborate Through Data - Interview w/ Andrew Pease

    Publisert: 20.2.2023

  12. Weekly Episode Summaries and Programming Notes – Week of February 19, 2023

    Publisert: 19.2.2023

  13. #195 Zhamak's Corner 18 - Fixing Unnecessary Complications in Serving Data to AI/ML

    Publisert: 15.2.2023

  14. #194 The One Where Scott Goes off About Data Contracts (Part 1) - Mesh Musings 43

    Publisert: 14.2.2023

  15. #193 The Hidden, Pesky Persistent Challenges in Data-Intensive Applications/Service/ML - Interview w/ Ebru Cucen

    Publisert: 13.2.2023

  16. Weekly Episode Summaries and Programming Notes – Week of February 12, 2023

    Publisert: 12.2.2023

  17. #192 Diagnosing the Analytics Gap - All About Diagnostic Analytics - Interview w/ João Sousa

    Publisert: 10.2.2023

  18. #191 Zhamak's Corner 17 - AI/ML's Place in Data Mesh

    Publisert: 8.2.2023

  19. #190 Data User Experience (DUX): An Introductory Panel - Led by Karen Passmore with Alice Parker and Wannes Rosiers

    Publisert: 6.2.2023

  20. Weekly Episode Summaries and Programming Notes – Week of February 5, 2023

    Publisert: 5.2.2023

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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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