Data Mesh Radio

Un pódcast de Data as a Product Podcast Network - Lunes

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410 Episodo

  1. #296 Patience in Product Thinking in Data - Building to Large-Scale Behavior Change - Interview w/ Darren Wood

    Publicado: 11/3/2024
  2. #295 Data Shouldn't be a Four-Letter Word - Making Data a Forethought - Interview w/ Wendy Turner-Williams

    Publicado: 4/3/2024
  3. #294 Panel: Product Discovery and Data Discoverability in a Data Mesh World - Led by Ecem Biyik w/ Frannie Helforoush, Marta Debska-Barcinska, and Ole Olesen-Bagneux

    Publicado: 26/2/2024
  4. #293 Adapting Product Management to Data - Finding the Customer Pain and the Value - Interview w/ Amritha Arun Babu Mysore

    Publicado: 19/2/2024
  5. #292 Aligning Your Data Transformation to the Business - Interview w/ Nailya Sabirzyanova

    Publicado: 12/2/2024
  6. #291 Panel: Data as a Product in Practice - Led by Jen Tedrow w/ Martina Ivaničová and Xavier Gumara Rigol

    Publicado: 5/2/2024
  7. #290 Applying Platform Engineering Best Practices to Your Mesh Data Platform - Interview w/ Tom De Wolf

    Publicado: 29/1/2024
  8. #289 Building the Right Foundations for Generative AI - Interview w/ May Xu

    Publicado: 22/1/2024
  9. Major Programming Announcement

    Publicado: 21/1/2024
  10. #288 Panel: Master Data Management in a Data Mesh World - Led by Ole Olesen-Bagneux w/ Liz Henderson, Piethein Strengholt, and Samia Rahman

    Publicado: 19/1/2024
  11. #287 Driving Data Value Through Creativity, Curiosity, Collaboration, and Communication - Interview w/ Tiankai Feng

    Publicado: 17/1/2024
  12. #286 Mastering Master Data Management in a Modern World - Interview w/ Sue Geuens

    Publicado: 15/1/2024
  13. #285 Getting Depth and Value From Generative AI - In Data Mesh and in General - Zhamak's Corner 33

    Publicado: 12/1/2024
  14. #284 Breaking Down the Monolith - Incentivizing Good Choices - Interview w/ Frederik Nielsen

    Publicado: 8/1/2024
  15. #283 Selling Data Mesh to Your C-Suite and Board - Mesh Musing 58

    Publicado: 5/1/2024
  16. #282 Not Sweating the Small Stuff in Data Mesh - Interview w/ Mandeep Kaur

    Publicado: 1/1/2024
  17. Weekly Episode Summaries and Programming Notes – Week of December 31, 2023

    Publicado: 31/12/2023
  18. #281 Panel: Data Contracts and Data Mesh - Led by Jean-Georges Perrin w/ Amy Raygada and Andrew Jones

    Publicado: 29/12/2023
  19. #280 Enabling Your Domains to Create Maintainable Data Products - Interview w/ Alexandra Diem, PhD

    Publicado: 25/12/2023
  20. Weekly Episode Summaries and Programming Notes – Week of December 24, 2023

    Publicado: 24/12/2023

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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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