data mesh

What is a Data Mesh?

A data mesh is an organizational framework for collecting, managing, and sharing data across the enterprise. It is a method of data management that empowers domain experts to own the data they create and make it available to consumers across business lines. Put more...

5 Questions with Zhamak Deghani

Zhamak Dehghani is the Director of Emerging Technologies at Thoughtworks and the leading expert on data mesh. We’ll chat about the emergence of the data mesh as a concept, why the approach works for eliminating architectural silos, and how it’s producing more data-driven cultures.

The Role of a Data Catalog in Data Mesh

In our previous posts in this series, we focused on the people, processes, and cultural aspects of data mesh. Before we dive into the technical stuff, we should be clear about one thing: if someone tries to sell you a "data mesh platform," run away as fast as...

How an Enterprise Data Catalog Fast Tracks Domain-Driven Data Governance

In my last post, I wrote about the benefits of a domain-driven approach to data governance… and I reminisced about the glory days of the early ‘00s. Putting low-rise jeans and boy bands aside for just a minute, this follow-up post focuses on how adopting an enterprise...

The Data Mesh Balancing Act: Centralized vs. Decentralized Governance

In the second post in our data mesh blog series, we introduced the Data Product ABCs framework.Here, we’ll explore how you find the perfect balance of centralized and decentralized federated data governance to cash in on the full value of your data mesh. Top-down...

Do You Know Your Data Product ABCs?

 In our last post, we addressed the market definition of data mesh.Now we’re sharing our point of view on how you should implement it. The most important aspects of data mesh First, as a socio-technical approach, we believe data mesh is as much about people and...

Data is from Mars. Data Science is from Venus.

Today’s explosion of data is unstructured, feral, even wild. It is heterogeneous, or simply diverse. Which contrasts with the way our technologies have long sought to organize data into usable form, by making it homogeneous – or uniform. Enter ‘data mesh’ a radical...

How to Scale Your Data Culture with Data Mesh

Two decades into the twenty-first century, the majority of enterprise organizations continue to struggle to derive true value from their ever-growing stores of data. Bottlenecks created by centralized data teams, monolithic architectures, and restrictive governance...

3 Enterprise Data Management Trends CDOs Can’t Stop Talking About

When it comes to building a winning data culture, everyone’s looking for the new process, technology, or methodology that is going to help them turn the corner. Meeting with customers, prospects, and analysts, we hear about a lot of them, but there are three...

5 Questions with Jans Aasman

We all strive to be data-driven. And yet we all instinctively know that we’re not very good at it. In fact, if you believe any number of recent surveys, it seems we may actually be getting worse at data. One reason for this is a misalignment on what success looks like. How do you define and measure it? What is the actual value of your data?

Top 5 Trends for Data Management in 2022

2022 is here! If the last two years are any indicator, maybe we’ll end up calling this the “decade of data,” with next gen data observability, data catalog, data integration platforms, cloud data warehouses, and more making big news and bringing in big funds. We’ve...