Takeaways:

• A data product by the data mesh definition cannot by definition be a silo because it is meant to be consumed by the rest of the organization as a greater part of the picture of the organization. Whether that is true in practice remains to be seen :)
• APIs are the way we've learned in software to interconnect between services, so we need to learn how to leverage the same approaches in data.
• Within a single organization, we may be able to get by without having a great set of industry-wide interconnectivity standards - the company can fully control their own sharing. But, we know that to truly unlock the value of our organizations, cross organization data sharing - in a scalable and useful way - is necessary. So we need better ways to do that - standards and tooling/technology.
• It remains to be seen which will emerge first: the standards or the tooling/technology - a chicken and egg issue there - but they must really must be intertwined to work well.

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.

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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