CData Software Acquires Data Virtuality to Modernize Data Virtualization for the Enterprise
Data Virtuality brings enterprise data virtualization capabilities to CData, delivering highly-performant access to live data at any scale.
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Data Virtuality is pleased to announce the release of a connector for Databricks, enhancing the capabilities of the data lakehouse. This connector, available for both on-premises and SaaS deployments of the Data Virtuality Platform, adds a robust end-to-end integration component with an emphasis on data virtualization to data lakehouses.
This new connector offers organizations several advantages
For more details on the Databricks connector, check out the documentation here.
The integration of Data Virtuality and Databricks aids companies venturing in their AI initiatives. Data Virtuality’s platform allows for efficient integration of diverse data sources, a foundational element of any AI projects. With Databricks’s capabilities in thoroughly processing and analyzing large data sets, organizations can greatly impact the speed of their AI development and deployment.
If you are interested in seeing how easy it is to connect Databricks and other data sources and start working with data, why not test it yourself? Book a demo or kick off a free 30-day trial to see the Data Virtuality Platform in action.
Data Virtuality brings enterprise data virtualization capabilities to CData, delivering highly-performant access to live data at any scale.
Discover how integrating data warehouse automation with data virtualization can lead to better managed and optimized data workflows.
Discover how our ChatGPT powered SQL AI Assistant can help Data Virtuality users boost their performance when working with data.
While caching offers certain advantages, it’s not a one-size-fits-all solution. To comprehensively meet business requirements, combining data virtualization with replication is key.
Generative AI is an exciting new technology which is helping to democratise and accelerate data management tasks including data engineering.
Learn about the three-level performance optimization mechanism in the Data Virtuality Platform and how it can help you achieve maximum efficiency.
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