Description: Data virtualization is the process of abstracting data from various sources to provide a unified view for applications. This approach allows organizations to access and manipulate data from different systems without the need to physically move it, optimizing information management and improving operational efficiency. Through data virtualization, data from databases, applications, and cloud services can be integrated, thus facilitating analysis and decision-making. Key features include the ability to access real-time data, reduction of data redundancy, and simplification of IT architecture. Additionally, it allows organizations to quickly adapt to changes in the data environment, as they are not tied to a specific infrastructure. In a world where the amount of generated data is overwhelming, data virtualization becomes an essential tool for effective information management, enabling organizations to gain valuable insights without additional complications.
History: Data virtualization began to gain relevance in the 1990s with the rise of databases and the need to integrate information from multiple sources. However, it was in the 2000s that it became a common practice, driven by the growth of cloud computing and the need for companies to access data more efficiently. Companies like Informatica and Denodo were pioneers in developing data virtualization solutions, providing tools that allowed organizations to unify their data without the need to replicate it.
Uses: Data virtualization is primarily used in data integration, allowing companies to combine information from different sources for analysis and reporting. It is also applied in data management in cloud environments, facilitating access to distributed data without the need to move it. Additionally, it is useful in creating applications that require real-time data access, enhancing business agility.
Examples: An example of data virtualization is the use of platforms that allow companies to access data from multiple databases and applications in a single view. Another case is that of companies using virtualization solutions to integrate data from ERP and CRM systems, facilitating real-time reporting and performance analysis.
