Stop Chasing Data. Start Using It.
Enterprises face data management challenges in hybrid cloud environments, where data is scattered across various IT systems. This complexity impacts data access, which is crucial for AI development and organizational efficiency. Data fabrics offer a solution by providing a unified data plane, allowing access to all data as if it were in one location. This article highlights data fabrics’ ability to replace multiple data storage products with a single solution optimized for hybrid data analytics.
Data lakehouses, essential for training AI models, benefit from data fabrics that enable data integration and orchestration. These technologies streamline data access, management, security, and compliance, while integrating with open-source tools. Data fabrics also provide a global namespace for consistent data access, automated tiering for cost efficiency, and enhanced security through encryption and policy-based controls. By simplifying data management and ensuring secure access, data fabrics address common AI project failures caused by poor data management. They allow for the creation and better utilization of data lakehouses, help to avoid data swamps, and support efficient data preparation. Ultimately, data fabrics enable organizations to fully leverage their data for AI, product development, and improved productivity
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