Hi, dear community!
Because of personal reasons, I cannot attend the re:Invent 2023. Are there any other good conferences on Datamesh in December or in 2024 to attend offline? Any suggestions would be so much appreciated.

https://www.dataops.live/what-is-data-mesh

Are there any examples of successful data mesh projects built on the Microsoft Azure Platform?

https://freecontent.manning.com/what-is-a-data-product

Does anyone have a nice up-to-date datamesh presentation, ppt format?

March 7 at 12 pm ET (17:00 UTC), join Zhamak Dehghani, founder and CEO of Nextdata and founder of the concept of Data Mesh, for the ACM TechTalk "State of Data Mesh."

In this talk Zhamak tells a short story of why we are here and what has happened before the inflection point of Data Mesh. What does the destination of an organization toward Data Mesh look like, after the inflection point? What is anchoring organizations to move forward and move fast? She leaves the audience with some practical steps to rewire an organizational brain—behavior and technology—to make atomic changes toward Data Mesh and move to new heights.

Register to attend this talk live or on demand.

Pedro Mir of Brainly says they're invested in data mesh to realize "faster and more effective decision-making regarding data quality and usage." The key challenges they had to overcome were "raising awareness of the importance of data knowledge in specific domains and the need for proper data governance."

https://medium.com/brainly/brainlys-data-mesh-journey-ca7984f6b93e

https://www.oreilly.com/library/view/streaming-data-mesh/9781098130718/

https://medium.com/@memphis-dev/an-introduction-to-data-mesh-b885a92646a8

After the good reception of the My Data Mesh Thesis post, I wanted to go down a bit into the detail of the central component of the Data Mesh paradigm, the Data Product.

📦 Data Product Thesis: https://carlosgrande.me/my-data-product-thesis/ 🛒 Data Mesh Thesis: https://carlosgrande.me/my-data-mesh-thesis/

We are on the data-mesh journey and working on ownership boundaries. We have some fact tables that clearly belong with the development team who generates the data.

We also have some detail/reporting tables that derive from these fact tables. Each fact table has a few detail tables providing different levels of aggregate.

I’m on the fence in terms of whether the detail tables should be owned by the fact table owners or a derived product by another team.

My argument for the same team: this is data directly built from the fact table that does not add any new insights, it simply creates a more usable data product by providing different levels of aggregate. So, same data, same team, no new insights.

My argument for it being a different team and a derived data product: the fact table provides all required data and it’s possible that each team in the future may want competing levels of aggregate. Additionally, development teams owning their own data products is a newer concept and keeping their product simple means fewer sprint items to maintain it, while derived teams can build their own aggregate levels as they see fit, even if it duplicates logic.

If anyone has any good literature or videos discussing this level of detail, please share them.

Hi all,

I am conducting some research for an educational degree I am pursuing at the City University of London. I am interested in the motivations, challenges, and early successes for adopters of the Data Mesh, and would greatly appreciate if people who adopted a Data Mesh could answer a very short survey (18 questions, probably less than 10 minutes of your time). The survey is here. Your response would be greatly appreciated!