The Final Step to Data Mesh is Data Quality

The Final Step to Data Mesh is Data Quality

Data mesh is an approach to organizational data management that helps data-driven companies become more agile and prudent in managing, analyzing, and distributing data. The following principles are fundamental in a data mesh.  1. Domain Ownership 2. Data as a...
The Fourth Step to Data Mesh is Federated Governance

The Fourth Step to Data Mesh is Federated Governance

Data mesh is a strategic approach to decentralized data management that provides standardized self-serve data products through a governance model. This enables data-driven organizations to achieve agile, comprehensive and secure data management. Four main principles...
The Third Step to Data Mesh is the Self-Serve Platform

The Third Step to Data Mesh is the Self-Serve Platform

Data mesh is an approach to data management that helps organizations become more agile and prudent with managing, analyzing, and distributing data. Four main principles are fundamental in a data mesh. The first principle is domain ownership, and the second is data as...
The Second Step to Data Mesh is Data as a Product

The Second Step to Data Mesh is Data as a Product

Data mesh is a new approach to organizational data management that helps data-driven organizations become more agile and prudent with managing, analyzing, and distributing data. Four main principles are fundamental in a data mesh system. The first principle is domain...
The First Step to Data Mesh is Domain Ownership

The First Step to Data Mesh is Domain Ownership

In our previous post, we discussed the opportunity of developing a data mesh architecture and how it can benefit data-driven enterprise organizations. In the next four posts of our data mesh series, we will cover the fundamental principles that make up the...
Unleashing Value with a Decentralized Data Mesh

Unleashing Value with a Decentralized Data Mesh

Organizationally sourced data is increasingly complex and filled with valuable business intelligence. As organizations become increasingly data-driven, they will need to become more agile and prudent with managing, analyzing, and distributing data. Implementing a data...