As enterprises navigate multi-cloud and hybrid infrastructures, the surge in data silos and complex data environments has created challenges that impact agility, scalability, and operational costs. In a Salesforce study, 80% of organizations cited data silos as a primary obstacle, exacerbated by traditional integration methods that are slow, costly, and demanding on IT resources.
Data virtualization emerges as a solution, offering real-time data access and integration without physical data movement, which simplifies data management, accelerates insights, and empowers faster decision-making. This PoV examines data virtualization architectures - spanning connection, abstraction, and consumption layers—highlighting how it integrates diverse data sources to create a cohesive data landscape.
From DevOps to ERP upgrades and cloud migrations, this PoV delves into practical applications across IT functions, demonstrating how data virtualization optimizes efficiency and supports advanced analytics and reporting. With proven capabilities in delivering on these benefits, data virtualization is increasingly becoming a strategic pillar in modern IT infrastructures, allowing enterprises to focus resources on innovation and adapt seamlessly in a data-centric world.
