Data Mesh Learning Newsletter #049
The Data Mesh Learning Community consists of more than 7,000 data leaders implementing data mesh. From hosting Slack discussions and online meetups to showcasing user journey stories, our goal is to help inform and share best practices for those looking to pursue a data mesh approach.
Here’s a snapshot at some recent conversations, content and upcoming events from the Data Mesh Learning Community. We hope you’ll join us!
Community Conversations
ICYMI: These are some featured conversations from the Data Mesh Learning Slack group that have taken place recently.
What are good practices to for managing solutions that expose data for multiple domains?
One data product through multiple output ports, or multiple data products for different customers?
How can you implement data products and data mesh into multiple business units?
Data Mesh Learning Events
We host a weekly series of roundtable discussions that take place on Thursdays at 9:30 am PT / 12:30 pm ET. All are welcome to join, so be sure to RSVP via the DML meetup page.
*THIS WEEK* November 2: Team Topologies
November 9: Data Modeling
November 16: Zero-Trust Architecture
November 30: Data Contracts for CI/CD
December 15: BI & Data Mesh - How to Make It Work
You can find recordings of recent Data Mesh Learning discussions on the Data Mesh Learning YouTube channel.
Data Mesh Content Unzipped
The Benefits & Pitfalls of Data Mesh: Considerations Before Implementation
Joe Reis and Zhamak Dehghani
A lively discussion with two leaders in the data mesh space discussing what you should consider before implementing data mesh in your work.
Intuit’s Data Mesh Concepts
Tristan Baker
A deep dive into how Intuit has implemented their data mesh strategy.
Reflections on Building a Data Mesh Platform from Scratch: Insights from Novo Nordisk’s Jyotshna Karki
Melissa Logan
Insights from Novo Nordisk data engineer, Jyotshna Karki, on how they built and implemented their data mesh platform.
Driving Transformation with Data Mesh: Lessons from Industry Pioneers
Immuta
An in-depth Q&A panel on the practical aspects of implementing data mesh and lessons learned while doing so.
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