Learn How To Improve Your Data Architecture With Data Fabric 2.0

Data is a critical asset for all organizations; applications, AI/ML, blockchain, cloud, analytics, and insights cannot function without it. And data management is a critical function for storing, processing, securing, and governing data. However, we find that traditional data management is failing to meet businesses’ new demands, especially the need for real-time, consistent, and self-service data for applications, insights, and analytics. Enterprises face growing challenges in connecting disparate data sources to fuel analytics, real-time insights, and new-generation applications. The solution? Data fabric 2.0.

Data fabric overcomes modern challenges by leveraging a semantic layer and automating data management functions through built-in advanced AI/ML, in-memory processing, graph engine, real-time data processing, and data intelligence. While it has been around for over a decade, new solutions are now delivering more advanced capabilities to accelerate use cases, such as customer 360, real-time analytics, IoT analytics, and fraud detection.

At Forrester’s upcoming Data Strategy & Insights event, December 6-7, in Austin, I will be presenting on the next-generation data fabric 2.0 architecture. Data professionals will learn about new and evolving platforms and how they are helping organizations succeed with their data and analytics initiatives.

This session focuses on modernizing and future-proofing your data architecture with data fabric 2.0. Here’s a preview of some of the capabilities that I’ll talk about in the session:

• Globally distributed data fabric. With distributed data across hybrid and multi-cloud environments, organizations find it difficult to quickly support new applications and insights that need consistent and real-time data. Data fabric 2.0 delivers an integrated global data platform that can automatically span across data centers, clouds, and edge with zero to minimal administration to deliver trusted and consistent data for applications and insights.
• Enabling data mesh with data fabric. Data mesh offers a great framework for distributed architecture, federated and automated governance, data products, self-service, and API enablement. Find out how customers are leveraging data fabric platforms to accelerate the deployment of data mesh architecture.

I’ll be diving into the details at the Data Strategy & Insights event, so take a look at the agenda and reserve your spot!