Data virtualization is a form of data management that enables data collected from various and different sources in different locations and structures to be collected under a single access point. Data virtualization offers a modern approach to data integration by creating a logical data layer that integrates all corporate data stored in disparate systems, manages the consolidated data for centralized security and governance, and presents it to business users in real time.

The primary goal of data virtualization is to create a data management system that allows data to be accessed and processed across multiple data sources without the need to copy or move data, regardless of how it is formatted or physically stored.

Data virtualization contributes to customers' real-time decision-making, effective competition, and improved business performance while enhancing operational efficiency by reducing costs.

Features of Data Virtualization

Data virtualization provides a unique approach to data integration and management, acting not only as a simple data access solution but also as a comprehensive data discovery and search system alongside data security.

Data virtualization hides the complexity of accessing data and performs real-time data transformation and aggregation without the need to gather data in a separate repository. It offers a real-time connection to underlying data sources, providing users with the most up-to-date data in their applications and enabling an agile and straightforward approach.

Some of the benefits that data virtualization offers to organizations include:

• Data virtualization allows organizations to abstract underlying systems, facilitating the replacement of legacy systems with modern cloud applications.
• By isolating critical data sources from users and applications, data virtualization prevents data from being unintentionally or uncontrollably altered.
• With a zero-replication approach, data virtualization enables companies to access accurate data rapidly without making additional storage investments.
• It provides real-time data delivery, allowing users to access the most current data during regular business operations.
• Data virtualization's view-based approach reduces the time and human resources required for development by approximately one-fourth.
• Data virtualization with a single virtual data structure enables the implementation of central data governance and security.
• Data is shaped according to user requests and ensures the consistency of information retrieved from different user groups or platforms through the "Single Source of Truth" principle.
• Since data models are constructed on the virtual platform, changes in source systems or user platforms over time do not affect the data modeling structure. This ensures that processes such as technology updates, data migration, and adaptation to new systems do not pose a problem, even for organizations with the largest data storage and processing capacities.

Data virtualization enables organizations to make timely decisions, compete effectively, and enhance their business performance while saving money. Additionally, it can facilitate the effective analysis and mitigation of risks, improve the performance of marketing campaigns, and enable faster results to be achieved at a lower cost.