Data Mesh Radio

En podkast av Data as a Product Podcast Network

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Utdannelse Teknologi

422 Episoder

  1. #21 Data Mesh in Practice: Insights from Zalando's 2 Year Journey w/ Data Mesh - Interview w/ Max Schultze

    Publisert: 1.2.2022

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

    Publisert: 31.1.2022

  3. #20 Domain Driven Design for Data - Where to Start - Interview w/ Piethein Strengholt

    Publisert: 28.1.2022

  4. #19 Data Mesh in Government: Early Lessons Learned - Interview w/ Bente Busch

    Publisert: 25.1.2022

  5. #18 Finding (and Sharing) Your Internal Data Pain Points - Interview w/ Molly Vorwerck

    Publisert: 21.1.2022

  6. #17 Is Data Mesh Right for Your Org (Part 1) - Mesh Musings 4

    Publisert: 19.1.2022

  7. #16 Data Quality's 4 Horsemen: Omission, Waste, Divergence, and Downtime - Interview w/ Chad Sanderson

    Publisert: 18.1.2022

  8. #15 Data Definitions and "Durable in the Middle" Model - Interview w/ Benn Stancil

    Publisert: 15.1.2022

  9. #14 Knowledge First Approach and Reusing Existing Standards for Data Mesh - Interview w/ Juan Sequeda

    Publisert: 11.1.2022

  10. #13 Is There a Data Mesh Option for Startups and SMEs? - Interview w/ Peter Hanssens

    Publisert: 7.1.2022

  11. #12 Data-Centric Application Development and Data Mesh - Interview w/ Dan DeMers

    Publisert: 6.1.2022

  12. #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

    Publisert: 2.1.2022

  13. #10 Ensuring Data Quality via Data Testing and Versioning – Interview w/ Jesse Paquette

    Publisert: 1.1.2022

  14. #9 Data Contracts Deep Dive – The Pains and the Solution(?) – Interview with Abhi Sivasailam

    Publisert: 28.12.2021

  15. #8 Platform Re-use, PoC Advice, and More Data Mesh Nuggets – Interview with Matthew Darwin

    Publisert: 25.12.2021

  16. #7 Data Schema Contracts – What are they and why they matter – Interview with Olivier Wulveryck, Senior Consultant @ OCTO

    Publisert: 23.12.2021

  17. #6 All About Data Products – Interview with Wannes Rosiers, CTO Golazo Group

    Publisert: 22.12.2021

  18. #5 Data Virtualization and Data Mesh, Spec Data Products, and Can You Keep Your Existing Architecture – Mesh Musings 2

    Publisert: 22.12.2021

  19. #4 Be A Guest! Feedback Welcome! A Call To Action

    Publisert: 13.12.2021

  20. #3 Discover and Create Your Necessary Data Products - Data Product Flow Interview w/ Paolo Platter

    Publisert: 13.12.2021

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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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