Category Archives: News
Multimodal Data Products for Precision Medicine
Written on July 28, 2024 at 10:00 am, by Melissa Logan
A summary of the presentation during our Data Mesh Learning community session on Life Sciences held in June In June, the Data Mesh Learning community hosted a presentation about data products within precision medicine, featuring two speakers from Tag.bio. Our first speaker, Jesse Paquette, presented challenges in the life sciences industry related to data management,…
Data mesh roundtable — Data Product Design
Written on July 22, 2024 at 10:00 am, by Wannes Rosiers
By now, most people know the four cornerstones of data mesh: domain driven ownership, data as a product, self-serve data platform and computational governance. Previously, we already had some how-to’s in our roundtable discussions about domain driven ownership and computational governance. As self-serve data platforms are the technological aspect of things, much more content can…
Adevinta: Data Mesh Journey in Adevinta Spain
Written on July 22, 2024 at 10:00 am, by Paul Au
The data mesh paradigm shift is a journey. A journey that begins with a purpose rooted in delivering data-driven value at scale. Not being focused on the purpose is the most common antipattern. During these four years as a PM Data Platform in Adevinta Spain, I have been actively involved in accelerating the technology to…
DML Blog: Data quality – prevention is better than the cure
Written on July 16, 2024 at 9:00 am, by Paul Au
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
Written on June 21, 2024 at 9:00 am, by Paul Au
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
Written on May 20, 2024 at 9:00 am, by Paul Au
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
Written on April 22, 2024 at 8:00 am, by Paul Au
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
Written on April 19, 2024 at 8:00 am, by Paul Au
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
Written on April 18, 2024 at 8:00 am, by Guest Post
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…