Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
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Virtual Datasets
Catalog, curate, and control cloud data access
Whether your data resides in databases, cloud platforms, or APIs, virtual datasets bring it all together through a unified and easily accessible catalog of virtual datasets.
- Streamline Data Sharing & Collaboration: Enhance teamwork and streamline communication with a centralized, virtual data environment.
- Rapidly Operationalize Your Data: Transform, shape, and model data without the need for complex ETL processes. Adapt to changing business requirements quickly and efficiently.
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Real-Time Data Insights
Promote data sharing and collaboration
Using the Virtual Dataset feature of CData Connect Cloud, users gain the autonomy to explore and work with data independently, reducing the dependency on IT teams for data access and analysis. Watch the tutorial video to see how you can:
- Increase data accessibility
- Reduce time-to-market for data-driven projects
- Enhanced security and data governance
- Enable self-service analytics
Use Cases
Empower Data Teams
Promote collaboration, break down data silos, and facilitate efficient data analysis. Users can easily create, edit, and manage virtual datasets, empowering teams for independent and expedited decision-making.
- Create federated data views: Create virtual datasets that combine real-time data from multiple disparate sources without physically consolidating them.
- Decouple applications from physical storage: Enhance application agility by making it easier to adapt to changes in data storage infrastructure without impacting application functionality.
- Protect sensitive data: Present a masked or anonymized view of data, ensuring that sensitive information is not exposed in test environments.
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Data Connectors
ETL/ ELT Solutions
Cloud & API Connectivity
OEM & Custom Drivers