Data Mesh

How to handle data privacy in the data mesh? — Zhamak Deghani has published in 2019 a first post about data mesh. A core concept of data mesh is the one of decentralized data ownership: place ownership with the one knowing the data. Too strict data privacy rules will quickly turn this decentralized approach into data silos, whereas too loose…

JP Morgan Chase is one of the largest banks in the world, with nearly $130 billion in revenue in 2020. With 50,000 IT employees and an annual IT budget of $12 billion a year, the company invests heavily to ensure its technology gives it a competitive advantage. …

Some folks are concerned that there could be a downturn, whether there is or isn’t however it is time to get really pragmatic on where data budgets go and what IT should be concentrating on. …

Data Governance as a concept and practice has been around for as long as data management has been around. It, however is gaining prominence and interest in recent years due to the increasing volume of data that needs to be managed on the one hand, and the growing scrutiny around how organisations store and manage these data. Regulations such as GDPR means that data governance is no longer a “nice to have” but a critical requirement that can potentially lead to costly consequences for organisations.

“If I added up all the IT business cases, this business would be ten times bigger and cost nothing to run” This was said by the CEO of a very large company to his CIO when reviewing the latest business case for a new system. It was one of my…

One of my customers asked me a question: what is your view on features stores? And how to position them in the data mesh paradigm? My view: I’m no big fan of centralized or shared feature stores. They add unnecessary complexity to your architecture. Each individual analytical use case is…

A key issue data mesh is trying to address is that of ownership of data and data pipelines. Data mesh tries to bring that ownership to those that actually know and understand the data. I believe the budget should follow. — Previously I wrote about how to convince people that are involved with paying for your data mesh. Yet the Chief Data Officer (or whoever holds a central data budget) will worry and think

Authored by Subhendu Dey and Ray Harishankar In the previous two articles, you were introduced to the concept of Data Fabric[1] and its relevance in today’s IT architecture. We have seen that such a Fabric is not only responding to the market forces, but it can also be seen as…

In my last article we discussed the difference between data fabric and data mesh. In the nutshell, data fabric is technology focused whereas the data mesh is all about people and processes. Hybrid Data Fabric & Data Mesh Framework Most data ecosystems build data products that are aligned to the…