While they may be different on a conceptual level, data fabric and data mesh aren’t mutually exclusive concepts. Within the right data strategy, the two frameworks can actually work together, with data fabric providing a unified data access layer for a larger data mesh architecture. The choice of whether it makes sense to leverage...
For many, the appeal of a decentralized data architecture relates to its potential for enhanced collaboration. But to achieve this kind of streamlined collaboration, your team must first establish a system of secure, self-service domains. In a previous blog, we explored how to make decentralized data mesh architectures a reality based on phData’s...
One of the most persistent challenges modern data-driven organizations face is the divide between IT teams and business units. With data ownership largely in one camp and data use in the other, this gap hinders effective data collaboration, resulting in disjointed efforts and missed business opportunities. At the heart of...
We recently conducted an intriguing webinar exploring the data mesh concept, and how it’s transforming the way enterprises decentralize data to enable cross-functional, self-service products tailored to users’ needs. Though appealing for most organizations, executing a data mesh poses real complexities. At phData, we’ve implemented several successful data mesh platforms for our customers, and...
Moving from concept to execution can be a complicated process – especially with data mesh architectures. But by understanding and preparing for obstacles, you can make the implementation process as streamlined as possible. In our recent webinar Data Mesh vs. Data Security: Can You Have Both?, Immuta Senior Product Manager Claude...
Immuta CTO and Co-Founder Steve Touw sat down with Paul Rankin, Head of Data Management Platforms at Roche, and Sanjeev Mohan, Principal at SanjMo, for an in-depth discussion about data mesh architectures. Below is an edited transcript from a portion of their conversation. To listen to the full recording, click here. Steve Touw: This...
Data mesh has become a hot topic as organizations look to foster self-service analytics to make evidence-based decisions. There are plenty of articles discussing data mesh, including Zhamak Dehghani’s original blog post introducing the topic from 2019. To get back to basics, data mesh is a socio-technical approach to creating a decentralized analytical...
The concept of the data mesh architecture is widely recognized and often sought after by data teams across a variety of industries. Given its range of promising benefits – including enhanced data democratization and business-driving data products – this should come as no surprise. But with the technical, structural, and organizational overhauls required to...
Like other modern advancements in data use, the data mesh concept is rooted in a central goal: give more users easier access to business-driving data. But like many data initiatives, implementation can be much more difficult than it seems. A data mesh architecture is an amalgamation of moving parts, decentralizing data away...
You’ve just adopted a data security solution – congratulations! Now what? As with any new piece of technology, it can be tempting to jump in feet first to solve all your problems. After all, the sooner you achieve ROI, the better – right? Not necessarily. Often, we see customers struggle...
When two different concepts sound or act alike, it can be easy to conflate them. We see this in everyday life: jelly vs. jam, weather vs. climate, latitude vs. longitude, concrete vs. cement, the list goes on. In the ever-expanding world of data jargon, this kind of problem can easily...
Modern enterprises rely on data to deliver insights across every line of business, from sales and marketing to finance and HR. Gone are the days when data use was limited in scope – today’s increasingly decentralized data initiatives and architectures require decentralized access management. Continuing to consolidate data stewardship within...
A data mesh is an increasingly popular data architecture framework that moves away from the monolithic approach of data warehouses and data lakes in favor of a more decentralized method of cloud data management. This approach distributes data ownership to individual business domains, so that data access and management decisions are context-aware. As...