Data virtualization is a technology that integrates data from disparate sources into a single, virtual view without physically moving or copying the data.
Data virtualization is a data integration approach that creates a unified, virtual layer over disparate data sources, allowing users and applications to access and query data as if it resided in a single location. Unlike traditional methods that involve physically extracting, transforming, and loading (ETL) data into a data warehouse, data virtualization leaves the data in its original sources. It provides a real-time, consolidated view by querying the underlying systems on demand. This technology is particularly valuable for scenarios requiring immediate access to diverse, constantly changing data without the overhead of data duplication and complex ETL processes.
In e-commerce, data virtualization helps create a comprehensive and real-time view of product information, customer data, and sales analytics, which often reside in various systems (PIM, ERP, CRM, analytics platforms). It enables businesses to quickly combine product data from a PIM with inventory data from an ERP, or customer data from a CRM, for dynamic pricing, personalized recommendations, or accurate reporting. This agility supports faster decision-making, streamlines operations, and enhances the customer experience by providing up-to-date and consistent information across all touchpoints without the delays associated with traditional data movement.
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