The powerful JSON functions in Data Virtuality are designed to optimize your workflow and make working with JSON data simpler than ever before, allowing for more efficient and faster data manipulation.
Integrating the advanced functionalities and seamless experience of Data Virtuality’s platform with PRODATO’s analytical prowess.
Maximize your productivity with Data Virtuality’s native Python integration. All the power of Python, in one unified platform.
Data Mesh emerged primarily because of the increasing abundance of new data sources and an increase in demand from business departments.
Data Virtuality is excited to announce the launch of several new features that enable organizations to enjoy an improved SaaS experience.
Explore the power of data virtualisation in a distributed data environment and how it enables the persistence of virtual data views in data warehouses across on-premises, multiple clouds, SaaS applications, and the edge.
Uncover the differences between Data Lake Engines and Data Virtualization solutions, the emergence of Data OS, and the unique roles each plays in tackling today’s data challenges.
The pension landscape in the Netherlands is in flux. The pension agreement reached at the end of 2020 concluded between the cabinet and employee and employer organizations, is a major step in the modernization of the pension system. The new pension rules are likely to take effect on 1 January 2023, after which pension providers […]
Welcome to the last blogpost in our series on data virtualization in the real world. After looking at the benefits of Procedural SQL and SQL stored procedures, in this post we will be focusing on use cases for Stored Procedures in Data Virtuality. The majority of Stored Procedure topics I’ve touched on are pretty generic […]
Data Virtuality shapes the future of data integration with the launch of the first-of-its-kind data virtualization SaaS solution. Designed for data teams and citizen data experts, our solution shortens time-to-market from days or weeks to minutes and enables data users to share the data, model it, and build valuable data products. How Does the Data […]