What Exactly is a Data Product?

This blog has taken much longer to write than I had expected. Everyone in my circles who read an initial…

GraphQL for Data Products

The promise of using a chatbot to derive data insights threatens the decades-old dominance of business…

Applying team topologies to data product teams and platforms

Future-Proofing Your Data Mesh Architecture

Our industry’s ecosystem of data management platforms, vendors, technologies…

Reflections on Building a Data Mesh Platform from Scratch: Insights from Novo Nordisk’s Jyotshna Karki

In the ever-evolving field of data management, adaptability is key to success. Jyotshna Karki, a data engineer at the pharmaceutical company Novo Nordisk…

Building Scalable Data Mesh Solutions: Lessons from Disney Streaming

Introduction

Finding the right socio-technical balance

Socio-Technical Balance in Data Mesh Implementations

Effective Data Sharing at Scale: Insights from Bank of America’s Ramdas Narayanan

Ramdas Narayanan, Vice President of Product Management for Data Analytics and Insights at Bank of America, has over a decade of experience building effective data sharing at scale. This…

Write for Data Mesh Learning

Share your data mesh best practices, concepts, and practical advice with a broader audience.

Recap: Data Mesh Days for Life Sciences

A summary of talks from our first Data Mesh Days event