When you combine the Lyftrondata data virtualization platform with Azure, you can get all of the benefits of Azure’s native scalability, speed, and flexibility, along with the data virtualization capabilities that are, in some cases, hard to find when you work with other data virtualization software. This article will explain how well the Lyftrondata data virtualization platform and Azure augment each other to enable a flexible, scalable data architecture.
Data Virtualization with Lyftrondata empowers users to integrate data from disparate sources, provides greater flexibility in data access, limit data silos, and automates query execution for faster time-to-insight. Leverage data virtualization to complement processes like data warehousing, data preparation, data quality management, and data integration.
Lyftrondata Data Virtualization makes it easy for business users and professional IT developers to access data from Azure. Lyftrondata Data Virtualization delivers database server independence and hides the SQL dialect of the data source in use. Azure’s data storage service is accessed via SQL. Customers can use other APIs or languages depending on the requirements of their data-storage consumers. Views that join several sources are processed more efficiently with Lyftrondata data virtualization, allowing metadata, view, and tag. Business users and professional IT developers can learn which views are dependent on which sources via a search-based metadata system.