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.

Why You Should Add DevOps Metrics to Your Data Fabric

In this contributed article, Brett Stevens is the co-founder of Software.com, a DevOps metrics platform that helps teams measure and improve their organization’s DevOps performance, discusses how making DevOps data more visible and easily accessible helps teams improve their software delivery and gives them an edge over their competitors.

From Data Warehouses and Data Lakes to Data Fabrics for Analytics

In this contributed article, Kendall Clark, Founder and CEO of Stardog, discusses how data fabric is fast-becoming the data architecture foundation for analytics and how it is revolutionizing the $50 billion data lakes/warehouse market. Supported by real-word examples, the article explores how technologies such as expressive semantic modeling, knowledge graph, and data virtualization are connecting disparate data lakes to streamline data pipelines, reduce dataops costs and improve analytics insight.

New MapR Orbit Cloud Suite Extends Analytics and Applications Across Clouds and Edge

MapR Technologies, Inc., provider of the Converged Data Platform that integrates analytics with operational applications in real time, announced the MapR Orbit Cloud Suite. Offering a comprehensive set of cloud computing capabilities for the MapR Converged Data Platform, MapR Orbit enables organizations to build data fabrics for the first time that manage data across one or more clouds, hybrid clouds, or to the edge. It also includes advanced features specifically useful to cloud builders and cloud service providers.

Interview: Jack Norris, SVP Data and Applications at MapR

I recently caught up with Jack Norris, Senior Vice President of Data and Applications at Mapr, to discuss how storage and data management are in the midst of a generational re-platforming to leap forward into the digital age and how “data fabric” technology is taking a leading role.