Data Mesh Radio

Data Mesh Radio

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Data Mesh Radio episodes

  • #136 Building Your Data Platform for Change and Reusability via Modularity - Interview w/ Alireza Sohofi

    Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

    Please Rate and Review us on your podcast app of choice!

    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

    Episode list and links to all available episode transcripts here.

    Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

    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.

    Squirrel (OSS data platform) GitHub: https://github.com/merantix-momentum/squirrel-core

    Alireza's LinkedIn: https://www.linkedin.com/in/alireza-sohofi/

    In this episode, Scott interviewed Alireza Sohofi, a Data Scientist focused on building the data platform at Merantix Momentum.

    Some key takeaways/thoughts from Alireza's point of view - some written directly by Alireza himself:

    1. Where possible, look to build your platform in a loosely coupled way. It will make it easier to extend and evolve; and domains can replace pieces, mix and match components, or even extend the functionalities when it makes sense.
    2. It's easy to fall into the trap of building a platform that is hard to evolve and support. Be very conscious about what you want to include - and not include - in your platform. Don't try to solve every challenge with a point solution.
    3. To effectively share data - and the information it represents - software engineers / domains need to really understand their own data, including data modeling. That can't be easily outsourced. A platform team's job is to build the tooling so those domains only need to deal with the data, not the data engineering.
    4. If you want a scalable platform - in many senses of the word scalable -, your platform should be relatively generic. It must also be easy to extend and augment. Focus on providing flexibility and ease of customization. One size definitely won't fit all.
    5. Packages and templates are both useful but templates are typically more user friendly and easier to customize - start with templates when possible.
    6. If there is
    1 hr 17 min
  • Weekly Episode Summaries and Programming Notes – Week of October 2, 2022

    Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

    Please Rate and Review us on your podcast app of choice!

    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

    Episode list and links to all available episode transcripts here.

    Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

    If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

    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

    25 min
  • #135 Iterating Consciously - and Quietly - Towards Data Mesh Capabilities - Interview w/ Balvinder Khurana

    Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

    Please Rate and Review us on your podcast app of choice!

    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

    Episode list and links to all available episode transcripts here.

    Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

    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.

    Balvinder's LinkedIn: https://www.linkedin.com/in/balvinder-khurana/

    In this episode, Scott interviewed Balvinder Khurana, Principal Data Architect at Thoughtworks.

    Some key takeaways/thoughts from Balvinder's point of view:

    1. Data mesh is NOT a silver bullet and not everyone is ready to do data mesh - others have stated that but it's crucial to repeat.
    2. A data mesh doesn't happen in a vacuum - you need to assess if you are really ready and does it align first to your business strategy and second to your data strategy.
    3. If you decide to move forward on a data mesh implementation, really consider how you will measure progress and success against business goals.
    4. To evaluate data mesh appropriately, consider what business value having better data practices would bring to your company and is your company aligned into lines of business or would you need to reorganize your business. Are you prepared to extend your line of business practices to data?
    5. A common failure pattern in analytics has been not looking at the Intelligence Cycle - changing your operational systems and processes as a result of insights. Don't just generate insights, insights must generate action! Data mesh must avoid this too.
    6. Even if existing centralized data team setups have significant bottlenecks, data consumers typically eventually get their needed data. Those data consumers can see something like data mesh as a risk - will they still be able to eventually get the data they need? Is eventually getting to faster access to new data worth the perceived risk?
    7. If you have resistance to data mesh, look at delivering necessary capabilities to your data producers and/or consumers in a...
    1 hr 12 min
  • #134 Zhamak's Corner 5 - From Pipeline to Product, a Crucial Evolution in Data and Data Tooling

    Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

    Sponsored by NextData, Zhamak's company that is helping ease data product creation.

    For more great content from Zhamak, check out her book on data mesh, a book she collaborated on, her LinkedIn, and her Twitter.

    Please Rate and Review us on your podcast app of choice!

    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

    Data Mesh Radio episode list and links to all available episode transcripts here.

    Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

    If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

    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

    16 min
  • #133 Nitty Gritty From the Deployment Committee: Crucial Learnings on Driving Buy-in and Data Product Discovery - Interview w/ Ammara Gafoor

    Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

    Please Rate and Review us on your podcast app of choice!

    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

    Episode list and links to all available episode transcripts here.

    Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

    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.

    [email protected]

    Ammara's LinkedIn: https://www.linkedin.com/in/ammara-gafoor/

    Data Mesh in practice article series from Ammara and colleagues:

    #1: https://www.thoughtworks.com/en-us/insights/articles/data-mesh-in-practice-getting-off-to-the-right-start

    #2: https://www.thoughtworks.com/en-us/insights/articles/data-mesh-in-practice-organizational-operating-model

    #3: https://www.thoughtworks.com/en-us/insights/articles/data-mesh-in-practice-product-thinking-and-development

    #4: https://www.thoughtworks.com/en-us/insights/articles/data-mesh-in-practice-technology-and-the-architecture

    In this episode, Scott interviewed Ammara Gafoor, Principal Business Analyst at Thoughtworks who has been working on a few client projects related to data mesh including one for well over a year.

    Before jumping in, it's important to note that much of Ammara's learnings come from an implementation in a 100K+ employee company split into 21 high-level...

    1 hr 18 min
  • Weekly Episode Summaries and Programming Notes – Week of September 25, 2022

    Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

    Please Rate and Review us on your podcast app of choice!

    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

    Episode list and links to all available episode transcripts here.

    Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

    If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

    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

    29 min
  • #132 Zhamak's Corner 4 - The World Is Changing, Are You Accounting for That?

    Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

    Sponsored by NextData, Zhamak's company that is helping ease data product creation.

    For more great content from Zhamak, check out her book on data mesh, a book she collaborated on, her LinkedIn, and her Twitter.

    Please Rate and Review us on your podcast app of choice!

    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

    Data Mesh Radio episode list and links to all available episode transcripts here.

    Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

    If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

    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

    17 min
  • #131 More On Driving Buy-In in Data Mesh - Mesh Musings 30

    Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

    Please Rate and Review us on your podcast app of choice!

    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

    Episode list and links to all available episode transcripts here.

    Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

    If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

    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

    17 min
  • #130 Making the Data Quantum Leap - Starting from the Data Quantum at PayPal - Interview w/ Jean-Georges Perrin (JGP)

    Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

    Please Rate and Review us on your podcast app of choice!

    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

    Episode list and links to all available episode transcripts here.

    Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

    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.

    Data Mesh at PayPal blog post: https://medium.com/paypal-tech/the-next-generation-of-data-platforms-is-the-data-mesh-b7df4b825522

    JGP's All Things Open talk (free virtual registration): https://2022.allthingsopen.org/sessions/building-a-data-mesh-with-open-source-technologies/

    JGP's LinkedIn: https://www.linkedin.com/in/jgperrin/

    JGP's Twitter: @jgperrin / https://twitter.com/jgperrin

    JGP's YouTube: https://www.youtube.com/c/JeanGeorgesPerrin

    JGP's Website: https://jgp.ai/

    In this episode, Scott interviewed Jean-Georges Perrin AKA JGP, Intelligence Platform Lead at PayPal. JGP is probably the first guest to lean into using "data quantum" instead of "data product". JGP did want to emphasize that as of now, he was only discussing the implementation for his team the GCSC IA (Global Credit Risk, Seller Risk, Collections Intelligence Automation) within PayPal.

    Some key takeaways/thoughts from JGP's point of view:

    1. Data mesh as it's been laid out by Zhamak obviously leaves a lot of room for innovation. For some, that's great. For others, they want the blueprint. And it's okay to wait for the blueprint. But JGP and team are excited...
    1 hr 23 min
  • Weekly Episode Summaries and Programming Notes – Week of September 18, 2022

    Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

    Please Rate and Review us on your podcast app of choice!

    If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

    Episode list and links to all available episode transcripts here.

    Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

    If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

    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

    17 min

About Data Mesh Radio

From the publisher's feed

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.