This article lists a few resources regarding Data Mesh. I will admit that this is a biased list of resources that I read/watched and, for some, re-read (some a few times and various editions).
This selection depicts the Data Mesh as imagined by Zhamak Dehghani. There are many “things” called Data Mesh, surfing on the term’s popularity. I kept a strong focus on the Data Mesh that follow the four principles of the paradigm:
- Domain Ownership.
- Data as a Product.
- Self-Serve Data Platform.
- Federated Computational Governance.
By following these principles as a guiding rule, I hope to follow the lineage that Dehghani has initiated.
If you are more for “short reads”, here is a selection of articles around Data Mesh.
The foundational article by Zhamak Dehghani, dated May 20th, 2019: How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh.
A more mature article by Dehghani, dated December 3rd 2020, outlining the principles (see photo) and base architecture. Check out Data Mesh Principles and Logical Architecture.
I would also mention my post on the PayPal Technology Blog, which was very well received and is being increasingly popular: The next generation of Data Platforms is the Data Mesh.
There are two excellent books. I would highly recommend both of them if you are interested in going a little deeper in the topic.
Dehghani turned her experience and articles into what is now considered the reference book: Data Mesh: Delivering Data-Driven Value at Scale (O’Reilly).
A more practical book, that takes some liberties from Dehghani’s reference and offers a slightly different viewpoint: Data Mesh in Action (Manning Publications) by Jacek Majchrzak, Sven Balnojan, and Marian Siwiak.
If you are into visual and audio learning, there are a few videos on YouTube around Data Mesh.
Introduction to Data Mesh is my favorite video by Zhamak Dehghani. She did a few others, so feel free to browse for her content.
Yours, humbly, recorded and shared The next generation of Data Platforms is the Data Mesh — DataFriday 2×07 as part of my DataFriday series.
If you’re into podcasts, which I listen to when I mow (and I mow too much), you need to listen to Scott Hirleman’s Data Mesh Radio.
Definitely pay a visit to Scott Hirleman’s Data Mesh Learning, where you will find links to the newsletter and fast-growing Slack community.
I am happy to expand this list, through resources my way, in the comments, and I will consider them for inclusion in the main article.