Data Mesh in practice - Product thinking and development (Part III)
When teams want to start treating data as a product, we recommend working backwards from organizational goals to identifying high-value analytical use cases, and ultimately, which data products are needed to bring the use cases to life.
ReadData Mesh in practice - Organizational operating model (Part II)
In this article, we dive into the first of those streams, looking at the operating model changes required to support Data Mesh, and the discovery process that helps us identify and define them.
ReadData Mesh in practice - Getting off to the right start (Part I)
In this series of articles, we'll share practical learnings from our recent Data Mesh implementation engagement at Roche. As the world's largest global provider of healthcare, Roche generates, manages, and processes vast quantities of data across a wide range of deeply specialized domains. We lay out what it really takes to successfully apply the principles of Data Mesh in a large corporate environment.
ReadThe Curse of the data lake monster
Artificial intelligence and machine learning are currently all the rage. Every organisation is trying to jump on this bandwagon and cash in on their data reserves. Organisations are investing a lot in building fancy data lakes but often without considering the use cases. In this essay, Lucy and I explain a better approach.
Read