Contrary to popular belief, the most meaningful developments in contemporary data architecture aren't the rising interest in the concepts of the data mesh or the data fabric. It’s actually the merging ...

Understanding the differences between data mesh, data fabric, and data virtualization can help organizations turn scattered data into a strategic advantage. Organizations are getting serious about ...

AI—both operational and generative—is knocking on enterprises’ doors, forcing data managers to make new architectural choices on what it will take to support these data-hungry initiatives. Data mesh ...

With the increasing complexity of data sources scattered across a hybrid, multi-cloud data estate, enterprises require a high-quality and secure data foundation. Learn how data mesh & data fabric can ...

Legacy architecture and monolithic data platforms can pose significant challenges to effectively scaling data and analytics. While data sources, domains, and consumers all continue to proliferate and ...

Modern businesses generate vast amounts of data, which is ultimately distributed across various cloud databases, local apps, on-prem servers, and the edge. Disconnected, disorganized and siloed data ...

Data fabric is a type of architecture that aims to provide unified access to the data stored in various places across your organization. The data fabric concept recognizes that most enterprises aren’t ...

Throughout my career, enterprise data management paradigms have come and gone. Let’s briefly trawl some data management history to understand how data fabric emerged. Okay, “data swamp” is somewhat ...