Are you just getting started with data mesh? Findings from our recent community survey suggest that incremental adoption in stages is the best approach, with 86% believing it leads to better outcomes. Workshops, training, content, and internal wikis or portals were cited as the most effective ways to educate internal stakeholders, but there is no one “right” way to implement data mesh. The Data Mesh Learning Community exists to help data leaders along their journey with data mesh by sharing best practices, use cases, and resources that hopefully help make implementation easier to navigate.
We are excited to announce the new DML MVP program which recognizes individuals in the community with data mesh expertise who are committed to providing objective and unbiased information to support individuals on their data mesh journey. Congratulations to our inaugural MVPs:
Andrew Sharp | Principal Consultant Data Governance, Oakland Group
Amy Raygada | Senior Data Product Manager, Swiss Marketplace Group
Eric Broda | President, Broda Group Software, Inc.
Jean-Georges Perrin | President & Co-founder, AIDA User Group. Lifetime IBM Champion
Karin Hakansson | Data Governance/Data Mesh Lead Consultant
Scott Hirleman | Data Mesh Radio Host / Founder, Data Mesh Understanding
Wannes Rosiers | Product Manager and Data Enthusiast, Conveyor
ICYMI: Two new data mesh journey stories from JP Morgan Chase and Disney Streaming featured on the DML blog:
Navigating Data Governance: Insights from JP Morgan Chase’s Sarita Baksta
Building Scalable Data Mesh Solutions: Lessons from Disney Streaming
If you are on a data mesh journey, you’re likely looking for resources that can guide you along the way. We’re here to help! The new Data Mesh Learning Community website now features a library of data mesh resources spanning articles, podcasts, and videos from data leaders.
ICYMI: These are some featured conversations from the Data Mesh Learning Slack group that have taken place recently.
Do you have a topic you’d like to explore with the community? Join the discussion on Slack!
[Beginner] Should reports and storyboards be considered a data product?
A discussion about Alistair Cockburn's 2005 hexagonal architecture/ports and adaptors pattern and its relevance to data mesh and data products
March 7 at 9:30 am PT / 12:30 pm ET: Next Generation Data Mesh Governance
March 12 at 5am PT / 8am ET: Data Mesh Monthly Round Table: Data Contracts
March 14 at 11am PT/ 2pm ET: Save the date - A discussion with Frederick Gjørup Nielsen about the lesson learned implementing data mesh at Pandora
May 2 at 9:30 am PT / 12:30 pm ET: Next Generation Data Mesh Operating Model
You can find recordings of recent Data Mesh Learning discussions and virtual events on the Data Mesh Learning YouTube channel.
Data quality is essential in a data mesh architecture, ensuring the reliability, trustworthiness, and usability of data products and services across diverse domains. As a foundational pillar, it drives the success of decentralized data ecosystems. Soda provides the all-in-one data quality platform that empowers teams to maintain reliable data quality. Our platform is trusted by industry leaders and serves a global community of active users. Discover how you can achieve high-quality data for impactful insights with Soda. Visit soda.io for more information.
In Action: Transitioning to a Data Mesh Model at HelloFresh with Soda
If you have questions, comments or suggestions for future newsletters, please reach out to us at info@datameshlearning.com or in the #staff-questions channel in the Data Mesh Learning Slack.
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