Data Mesh Newsletter #021
The quick bit…
Data Mesh Radio was officially launched at the beginning of the year. See the announcement here. It takes a deep dive with community members exploring important topics that uncover useful perspectives like only a dialogue forum can do. Several excellent episodes have been recorded already.
Data Mesh Content Unzipped
Speaker: Paul Makkar, Saxo Bank
Paul walks us through the anatomy of Saxo’s Data Mesh implementation of which Kafka serves as the central nervous system of the implementation.
Building a Data Mesh Architecture in Azure
Author: Paul Andrew
After establishing Data Mesh principles, this three part series proceeds to map them to various Azure services in a reified interpretation of Data Mesh on Azure Cloud.
How does API management work with a distributed data mesh approach?
Author: Matt McLarty
The argument for API data connectivity in a Data Mesh environment is the central theme of this article which asserts that the evolution of best practices in the API product align naturally and not coincidentally with emerging data product principles. Consumption of analytics data in user facing applications is seen as a first order entry point into Data Mesh.
Analytics in 2022 Means Master of Distributed Data Politics
Author: Andrew Brust
Performs a compare and contrast between Data Mesh and Data Fabric through an historical lens shaped by natural laws of data and the social and political constructs that influence its use.
10 reasons why you are not ready to adopt data mesh
Author: Trinh Ha
Carefully thought scenarios are enumerated here as to why a Data Mesh may not be right for you.
Why Is Treating Data Like a Product So Hard?
Author: Eric Weber
Capturing the value proposition of data when treated as a product can be an elusive and laborious endeavor. This article attempts to explain why.
Upcoming Meetups / Zhamak Stuff
Book Nook
Community member Jacek Majchrzak recently publish a book on Data Mesh titled Data Mesh in Action. The book focuses on moving the Data Mesh inductee from the ‘what’ to the ‘how’ of a Data Mesh implementation.
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Special thanks to Datacequia LLC for contributing time and effort to focus on this community and hopefully helping you learn more and give back.