Key Points:

Containers in software abstracted away a number of very cumbersome tasks and encapsulated a lot of the dependencies software had to its environment. Combined, that meant developers could focus on delivering value instead of focusing on the infra. We need to do the same in data.
It's all about sharing data in a responsible and easy way. That means putting all the components together so you don't have to manage many versions. Just like microservices.
How do you manage to make this easy for the data product developer - bundle everything together. But centralized data products are creating a lot of potential issues/risk to scalability and flexibility. We just keep trying to centralize in data.

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.

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

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

Astrotheology of The Royal Stars, The Four Evangelists, & The Four Horsemen with Dylan Saccoccio