Data Virtualization forms the foundation for Data Analytics by combining, normalizing data into a unified view
What is Data Virtualization?
Data virtualization is a technology that enables businesses to access and integrate data from multiple disparate sources without physically moving or copying the data. Instead, data virtualization creates a virtual, unified view of the data from various sources, allowing for faster, more efficient data access and analysis. This eliminates the need for complex and expensive data integration processes and enables businesses to make better-informed decisions based on a comprehensive and accurate view of their data.
Connect - Data virtualization connects to all types of data sources—databases, data warehouses, data lakes, cloud applications, big data repositories, social media, and even Excel and XML files.
Combine - Data virtualization combines the related information into business views irrespective of their data format—relational databases, NoSQL, Hadoop, web services and Cloud APIs, files, etc.
Consume - Data virtualization enables business users to consume data through reports, dashboards, portals, mobile apps, and Web applications, IoT and also to advanced analytics platforms like Graph Analytics.