Enhancing Data Virtualization with Replication – A Comprehensive Strategy for Data Architects

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.

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Generative AI in Data Integration

Generative AI is an exciting new technology which is helping to democratise and accelerate data management tasks including data engineering.

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Performance Optimization enabled in the Data Virtuality Platform

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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The True Value of Data Virtualization: Beyond Marketing Buzzwords

While proponents of the technology understand its true potential, many potential adopters remain swayed by marketing buzzwords, often leading to a skewed perception of its real benefits.

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An Overview of the Data Virtuality Platform’s Comprehensive Security Measures

Discover the robust security layers integral to the Data Virtuality Platform.

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Elevate Your Azure Experience: Data Virtuality Launches Data Virtualization SaaS on Azure

Data Virtuality Platform SaaS is now available on the Azure cloud, extending our reach beyond the AWS cloud.

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Feature Spotlight: Simplified Data Engineering with JSON Functions in Data Virtuality

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.

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Announcing Our Partnership with PRODATO: A New Chapter in Data Solutions

Integrating the advanced functionalities and seamless experience of Data Virtuality’s platform with PRODATO’s analytical prowess.

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Python is now fully integrated into Data Virtuality’s Code Editor!

Maximize your productivity with Data Virtuality’s native Python integration. All the power of Python, in one unified platform.

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Data Mesh Realised: The Indispensable Role of the Data Marketplace

Data Mesh emerged primarily because of the increasing abundance of new data sources and an increase in demand from business departments.

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