Distributed Data Mesh

Data mesh is a modern data architecture paradigm that emphasizes the democratization and decentralization of data ownership and management. It advocates for organizing data around domain-driven teams and creating data products that are self-serve and loosely coupled, allowing for greater flexibility and agility in data management. This approach can help organizations improve the quality and accessibility of their data while reducing data silos and bottlenecks.

I have been building a couple of Distributed Data Meshes on top of #apache-spark and other platforms as a full-time job since 2016. A lot of #data-quality aspects had to be thought of.

In this tag, you’ll find insights, best practices, and tools for implementing data mesh in your organization. Whether you’re a data engineer, data scientist, or business leader, these resources will help you understand the benefits and challenges of data mesh and how to adopt it effectively.