Data Mesh Learning Newsletter #043
Festive Fawn Issue
May was an exciting month for the Data Mesh Learning community. We hosted our first Data Mesh Days event as well as a panel discussion on becoming a Data Mesh engineer. We also saw several insightful discussions surface on the Data Mesh Learning Slack channels.
Data Mesh Days
This month we hosted the first-ever Data Mesh Days event with a focus on data mesh implementations and best practices for life sciences. Data Mesh Days provide a vendor-neutral space where data leaders and practitioners gather to share best practices and use cases, forge critical relationships, and learn about advancements in data mesh.
The inaugural event included 5 presentations and a breakout session for attendees to meet each other and share learnings. You can watch a replay of the event here and read a recap of it on the blog.
Each Data Mesh Day will focus on a different industry vertical and will showcase talks from end users and others in the industry who are implementing Data Mesh. Our next Data Mesh Days will focus on Financial Services; stay tuned for more information in an upcoming newsletter.
Local Data Mesh Learning Meetups
We are thrilled to announce the launch of a new meetup program for the Data Mesh Learning community! Data Mesh Learning Meetups aim to unite Data Mesh enthusiasts and professionals to share their knowledge, experiences, and ideas with one another. Meetups will be held in local communities across the globe, providing a platform for networking and learning about the latest developments in this exciting field.
Find out more in the announcement post and the meetup organizer handbook.
Data Mesh Content Unzipped
Panel: Becoming a Data Mesh Engineer
Eric Broda, Laveena Kewlani, Kruthika Potlapally & Jean-Georges Perrin
The most recent Data Mesh Learning community livestream features an in-depth and informative panel discussion about becoming a Data Mesh engineer.
The State of Data Engineering 2023
The annual report from lakeFS has been released, and it contains a wealth of information for data practitioners.
Bringing Data Mesh to life with Team Topologies
Omar Khawaja
This blog provides an interesting look at a practical implementation of Data Mesh for teams.
Community Conversations
ICYMI: These are featured conversations from the Data Mesh Learning Slack group that have taken place recently. You can join the conversation in Slack here.
Upcoming Events
Join the Data Mesh Learning Meetup Group to be notified of upcoming events.
June 13: Data Products in Practice in a Data Mesh World
A roundtable discussion about practical implementations of data products
June 21: Building, Deploying & Maintaining Multimodal Data Products for Precision Medicine
Fascinating use cases showing the principles of data mesh architecture implementation.
Community Sponsor: Starburst
Starburst is the analytics engine for all your data. We provide the fastest, most efficient analytics engine for your data warehouse, data lake, or data mesh. We unlock the value of distributed data by making it fast and easy to access, no matter where it lives. Starburst queries data across any database, making it instantly actionable for data-driven organizations.
With Starburst, teams can lower the total cost of their infrastructure and analytics investments, prevent vendor lock-in, and use the existing tools that work for their business. Trusted by companies like Sky, SOPHiA Genetics, Glovo, and VMware, Starburst helps companies make better decisions faster on all data.
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