Data Mesh Newsletter #017
Fall Back Issue
The quick bit…
0) A few content links from the last issue did not yet have the recordings at the time of publication. They have been provided below.
1) A new ‘Book Nook’ section has been introduced in this issue. If you have read any interesting books related to Data Mesh, please send my way along with your review.
Data Mesh Content Unzipped
A Behind-the-Scenes Look at How Postman’s Data Team Works
Author: Prukalpa (Atlan)
This article describes Postman’s evolved mix of decentralized and centralized teams while experiencing hyper-growth.
Authors: Barr Moses, Brandon Gubitosa (Monte Carlo)
Yet another attention grabbing title added this issue. This one focuses on key observations and outcomes based on numerous interactions with customers on the topic.
Driving Impactful Digital Transformation in Financial Services with Data Analytics
Attendees: Mark Cusack (Yellowbrick); Jay Franklin (First Tech); Mark Oppenheim (Discover); Alex Golbin (Morningstar); Deep Srivastav (Franklin Templeton)
Not necessarily Data Mesh focused conversation nevertheless some universal truths any data professional can appreciate come out of this discussion.
The Data Mesh: In Conversation with Zhamak Dehghani
Host: Matt Turck (FirstMark); Guest: Zhamak
This is a continuation from the previous issue (#016) for those of you who attempted to watch the video but it was not yet available.
Impact 2021: The Rise of the Data Mesh
Host: Barr Moses; Guest: Zhamak
In this talk, Zhamak envisions the future of data platform architectures at the IMPACT conference.
Data mesh: A new paradigm for data management
Host: Dave Vellante, Guest: Zhamak
Dave Vellante does another breakdown of Data Mesh principles with Zhamak along with some thoughtful Q&A.
Upcoming Meetups / Zhamak Stuff
Lessons from the trenches in Data Mesh; Webinar; Zhamak, Sina Jahan (Thoughtworks); Nov 16th 11:30AM EST
From the Trenches; Webinar; Zhamak; (55 minutes) - Nov 17th 8:00am PT | 11:00am ET | 4:00pm UTC/GMT
Software Architecture: The Hard Parts; Authors: Ford, Neal; Richards, Mark; Sadalage, Pramod; Dehghani, Zhamak
This book includes chapters on operational and analytical data, including Data Mesh
Learning Domain-Driven Design; Author: Khononov, Vlad
In addition to providing a very readable primer to DDD (no small feat), it also includes a chapter on Data Mesh ( reviewed by yours truly ).
If you have questions/comments/concerns/suggestions for future newsletters, please let us know at firstname.lastname@example.org.
Special thanks to Datacequia LLC for contributing time and effort to focus on this community and hopefully helping you learn more and give back.