Why We Need Data Mesh Architecture To Cope With Exponential Data Growth

In this contributed article, Ravi Narayanan, VP and Global Practice Leader for Data & Analytics, and Partnerships at Nisum, believes that in a world where data is expanding at a constant pace, knowing how to structure it is crucial. Leveraging data mesh, companies can empower departments with streamlined processes, visibility of their metrics, and data ownership.

Three Next-Generation Data Architectures: How Cloud, Mesh, and Data Fabrics Impact your AI Deployments

In this contributed article, Mohan Rajagopalan, vice president and general manager at Hewlett Packard Enterprise, discusses how the ideal solution to siloed data is implementing a single data plane across a business. This unified system allows enterprises to realize the grand vision they have been promised: One where data from all sources and apps can be used together for the benefit of the business. Understanding the role of cloud, mesh and fabric architectures is the first step toward a truly contemporary data-driven enterprise.

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.