Overcoming Data Overload with Data Fabric 

In this contributed article, Pradeep Menon, EVP, Digital Transformation Services Delivery, at Orion Innovation, discusses how reducing repetitive tasks in data discovery, analysis, and implementation is challenging. Organizations today are not only looking to reduce those repetitive tasks but also incorporate augmented data management solutions to drive revenue. The key to success is understanding the importance of incorporating data fabric as part of an overall data strategy that delivers real-time, secure, and connected data across the organization to support modern applications, insights, and analytics.

From Data Mess to Data Mesh 

In this contributed article, David Castro-Gavino, Global Vice President of Data at HelloFresh, highlights how the data mesh movement has been underway in recent years with the goal of reducing interdependencies and enabling self-service business intelligence. However, moving to a distributed data ownership takes organization, planning and buy-in from the right stakeholders, and we cannot underestimate the cultural change needed to accomplish this.

Data Virtualization’s Ubiquity: Data Meshes, Data Products, Data Lake Houses, Data Fabrics 

In this contributed article, editorial consultant Jelani Harper discusses how data virtualization is the underlying technology for some of the most progressive architectures today, including that of the data mesh, data lake house, and data fabric. Although it’s still regarded as a desirable, dynamic means of integrating data, it’s silently reshaping itself into something that encompasses this attribute but, ultimately, is much more.