243 episodes

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

Data Mesh Radio Data as a Product Podcast Network

    • Technology
    • 1.0 • 1 Rating

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

    #189 Our Data is In the Cloud… Now What? - Interview w/ Vikas Kumar

    #189 Our Data is In the Cloud… Now What? - Interview w/ Vikas Kumar

    Data Mesh Radio Patreon - get access to interviews well before they are released
    Episode list and links to all available episode transcripts (most interviews from #32 on) here
    Provided as a free resource by DataStax AstraDB; George Trujillo's contact info: email (george.trujillo@datastax.com) and LinkedIn
    Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.
    Vikas' LinkedIn: https://www.linkedin.com/in/vksnov9/
    Vikas' Twitter: @vikaskumar9 / https://twitter.com/vikaskumar9
    Vikas' email: vikaskumar9 [at] gmail
    In this episode, Scott interviewed Vikas Kumar, AVP and Head of Data, AI, and ML at CNA Insurance. To be clear, he was only representing his own views in this episode.
    Some key takeaways/thoughts from Vikas' point of view:
    In data mesh, make sure to keep focused on bringing the business domains along. You aren't building for the sake of building. If users can't derive value from the data work being done, why is it being done?The 2010s through the early 2020s have been about moving data to the cloud but we are starting to see people really leverage that data to generate value. The cloud unlocks many new possibilities around data due to flexibility, scalability, and unit economics.With moving to cloud, there is much less focus on specifically managing the data and more focus on getting value from the data. SaaS data product offerings really unlock people's time to focus on driving value.Cloud gives us the scale and data availability but there is still a long way between having the data available and leveraging the data for significant value.Cloud can be a double edged sword - it gives you flexibility and scalability but without good controls, you are likely to do a lot of duplicate work. Be careful that ease of data product creation - or at least PoC creation - doesn't create chaos and data product overlap. Make sure to have good governance here including strong communication.?Controversial?: We aren't very good yet at making it easy for business domain users to leverage data in many of their decisions. Where do we fall on the spectrum between...

    • 1 hr 16 min
    #188 Controversial Opinion: You Must Register Your Use Case With the Data Producer - Mesh Musings 42

    #188 Controversial Opinion: You Must Register Your Use Case With the Data Producer - Mesh Musings 42

    Data Mesh Radio Patreon - get access to interviews well before they are released
    Episode list and links to all available episode transcripts (most interviews from #32 on) here
    Provided as a free resource by DataStax AstraDB; George Trujillo's contact info: email (george.trujillo@datastax.com) and LinkedIn
    I share my strongly held belief that every data product consumer MUST register their use case with the producer and why it is so crucial and important. I sum up with these points:
    Data isn't ever going to be self-describing, at least not deep, context rich data and it definitely won't be as we focus on data democratization. So, you need to register your use case to make sure you and the producer are on the same page for what is truly being sharedData producers don't know what data consumers want - and especially don't know what potential data consumers want - without more information/conversation. Data producers kinda suck at doing that right now so help them out and improve the information flow. Who knows, they might have something way better for yaYou might actually be able to get at a heck of a lot more useful information if the producer 1) understands your use case and knows they can give you access to the PII/sensitive stuff because your use case is fine on ethical/legal/regulatory checks and/or 2) you are taking on the risk around if you violate ethical/legal/regulatory bounds. You need to communicate what would most effectively help you achieve a target outcome and have a reasonable, collaborative negotiation between data producers and data consumers. Just consuming from a data product as-is might not meet your needs well enough.Kinda similar to #1 but just getting a much better understanding of what you are really consuming. Does it mean what you think? Did you create an amazing insight, how can you collaborate with the producer to show that off? How can you make sure you will continue to get what you need as the data product evolves. I'll be digging somewhat deeper on the next episode with a rant on data contracts.
    Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him at community at datameshlearning.com or on LinkedIn: https://www.linkedin.com/in/scotthirleman/
    If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/
    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here
    All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, a...

    • 14 min
    #187 Maximizing the Value of Your Data Through Data Products - Interview w/ Bruno Aziza

    #187 Maximizing the Value of Your Data Through Data Products - Interview w/ Bruno Aziza

    Data Mesh Radio Patreon - get access to interviews well before they are released
    Episode list and links to all available episode transcripts (most interviews from #32 on) here
    Provided as a free resource by DataStax AstraDB; George Trujillo's contact info: email (george.trujillo@datastax.com) and LinkedIn
    Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.
    Bruno's LinkedIn: https://www.linkedin.com/in/brunoaziza/
    Bruno's Medium: https://medium.com/@brunoaziza
    Bruno's YouTube (Carcast videos): https://www.youtube.com/@brunoaziza
    In this episode, Scott interviewed Bruno Aziza, Head of Data and Analytics at Google Cloud.

    Some key takeaways/thoughts from Bruno's point of view:
    The end goal of your data strategy should be to reliably and scalably turn data into value. The best way to do that is by creating data products. How you get there might be different but don't lose focus on turning data into value."The number one barrier to your ability to drive value of data is not your technology, it's your people and how you organize your team."Focus on the point of what you are trying to deliver, not the actual output. It's not about delivering a dashboard, it's about creating a sustainable way to explore, share, and consume information/insights, whatever form that takes.!Controversial!: There are 3 phases to getting to data driven; 1) is building a data lake or ocean, 2) is data mesh, and 3) is getting to a data product factory equivalent.It's easy to try to put the cart before the horse in data. Before doing something like data mesh, you have to think how you will develop data as a function in your organization.Understanding the data product manager role and leveraging data product managers well is crucial to building an effective data product strategy and practice. They are your data product CEOs.A CDO's effectiveness depends on if they have a true seat at the exec table - can they create the necessary change - and how many people in the...

    • 1 hr 3 min
    Weekly Episode Summaries and Programming Notes – Week of January 29, 2023

    Weekly Episode Summaries and Programming Notes – Week of January 29, 2023

    Data Mesh Radio Patreon - get access to interviews well before they are released
    Episode list and links to all available episode transcripts (most interviews from #32 on) here
    Provided as a free resource by DataStax AstraDB; George Trujillo's contact info: email (george.trujillo@datastax.com) and LinkedIn
    Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him at community at datameshlearning.com or on LinkedIn: https://www.linkedin.com/in/scotthirleman/
    If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/
    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here
    All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf
    Data Mesh Radio is brought to you as a community resource by DataStax. Check out their high-scale, multi-region database offering (w/ lots of great APIs) and use code DAAP500 for a free $500 credit (apply under "add payment"): AstraDB

    • 23 min
    #186 Zhamak's Corner 16 - An Interpretation of Zhamak's Call-to-Action

    #186 Zhamak's Corner 16 - An Interpretation of Zhamak's Call-to-Action

    Data Mesh Radio Patreon - get access to interviews well before they are released
    Episode list and links to all available episode transcripts (most interviews from #32 on) here
    Provided as a free resource by DataStax AstraDB; George Trujillo's contact info: email (george.trujillo@datastax.com) and LinkedIn
    For more great content from Zhamak, check out her book on data mesh, a book she collaborated on, her LinkedIn, and her Twitter.
    We missed our window to record so I am interpreting what Zhamak is saying in her Medium post about why did she creator her company and the general state of the tooling market around data mesh. I also added on a the full 50min recording of our second recording which I had broken up into episodes 4-7.
    Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him at community at datameshlearning.com or on LinkedIn: https://www.linkedin.com/in/scotthirleman/
    If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/
    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here
    All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf
    Data Mesh Radio is brought to you as a community resource by DataStax. Check out their high-scale, multi-region database offering (w/ lots of great APIs) and use code DAAP500 for a free $500 credit (apply under "add payment"): AstraDB

    • 1 hr 7 min
    #185 How the Heck Do We Do Federated Computational Governance Part 1 - Mesh Musings 41

    #185 How the Heck Do We Do Federated Computational Governance Part 1 - Mesh Musings 41

    Data Mesh Radio Patreon - get access to interviews well before they are released
    Episode list and links to all available episode transcripts (most interviews from #32 on) here
    Provided as a free resource by DataStax AstraDB; George Trujillo's contact info: email (george.trujillo@datastax.com) and LinkedIn
    I will have much more to say on federated governance in data mesh but to reiterate my points:
    Federated doesn't mean decentralize everything. Really focus on enabling fast decisions with the people who have the understandingShared ownership of responsibilities or oversight but not owned by a central team can work. Stop thinking that this shoves all the ownership to the domain on day 1, they aren't ready for thatStart to plan out your governance roadmap pretty concretely at the start. But don't be worried about trying to have your ideal governance setup upfront. I've talked about CYA or cover your butt - think about what makes sense and what you can build as a skeleton upfront rather than trying to build a fully functioning bodyStart to think about interoperability at the concept level, that semantic level but you don't need to have your ultimate interoperability plan from the start. You can enhance and develop it as you go. And go talk to people about what they are doing!Blueprints. Do all the blueprints. Please, find friction and find a way to make easy buttons on this. There are 10s of episodes touching on this. Go look at what AgileLab is doing especially.Leave automated access control stuff for later. Focus on fast requesting and granting accessCreate data quality standards of measurement. That way everyone can understand how much they can trust a data product and why.Data contracts are about a producer/consumer relationship. This ain't a transaction. Get to know both sides and build to an understanding of what information is actually shared.
    Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him at community at datameshlearning.com or on LinkedIn: https://www.linkedin.com/in/scotthirleman/
    If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/
    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here
    All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, a href="https://pixabay.com/users/lexin_music-28841948/" rel="noopener...

    • 19 min

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