Blog
DML Blog: Data quality – prevention is better than the cure
Many of us spend a lot of our time dealing with poor quality data, and any solution we put in place tends to be reactive or yet another workaround implemented in an increasingly complex data pipeline. But this is proving ineffective and expensive, and preventing organizations from realizing the value of their data, when that’s…
Engineering a Data Mesh Platform for an Ecosystem Across Organisations
Tom De Wolf is an experienced hands-on architect and serves as the innovation lead, spearheading new innovative initiatives for future ACA Group projects and offerings. His expertise lies in cloud native platform engineering and ‘Data Mesh’ platform architectures, leveraging his background in software engineering and experience in designing various architectures, including software, microservices, data platforms,…
Scandinavian Airlines on Redefining Organizational Structures for Peak Innovation
Daniel Engberg, the head of AI, Data, and Platforms at Scandinavian Airlines (SAS), presents innovative strategies for creating a dynamic, collaborative, and effective organization. Between his work at SAS and his prior experience in strategy consulting at Accenture, Engberg is adept at overcoming the challenges posed by traditional organizational structures. At SAS, Engberg is dedicated…
Novo Nordisk: 10 Insights into Maturing Data Mesh Platform
In the ever-evolving field of data management, adaptability is key. At the pharmaceutical company Novo Nordisk, rising consumer and producer demands led the company to transition from a traditional centralized data lake system to decentralized data mesh approach. This led to a profound impact in the way data was harnessed for business growth. In the…
Next Generation Data Mesh Governance
Data Mesh, with its decentralized/federated approach, offers new opportunities for data governance. But what needs to change to allow data governance to adapt to Data Mesh? This session with Charlotte Ledoux, author of the book “Data Governance, Where to Start,” discusses what “next generation” data mesh governance looks like. Speakers: Charlotte Ledoux – Data &…
Data Mesh Security Best Practices
This post has been provided by DML community sponsor Immuta. The data mesh framework places data ownership in the hands of those who know it best — the domain-level experts. It allows those closest to the data to create and share data products independent of the data team, accelerating insights and innovation. But the approach…
Pandora: The Data Mesh Journey of the World’s Largest Jewelry Brand
Frederik Gjørup Nielsen has gone from Lead Engineer over Engineering Manager to the Head of Data & AI platform at Pandora, the world’s largest jewelry brand. His last years have been focused on translating commercial use cases to real-world implementations in Data Mesh-inspired architecture. In the presentation, he takes you through the initial discussions around…
Data mesh round table discussion on data contracts
The rise of data contracts is a path to data maturity Data contracts… If you would place them on the hype cycle, they still might sit before the peak of inflated expectations. Yet in the software engineering industry, data contracts have existed already for decades, called API contracts. Finally data contracts, like many other software…
Data ownership in data mesh
Every month I am honored to moderate a round table together with Karin Hakansson, Amy Raygada and Andrew Sharp. These round tables are hosted by the data mesh learning community and concern a data governance on data mesh topic. The subject of February 2024 was data ownership, the open discussion was initiated through the following…