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Data Mesh
Data mesh enabled by CData Virtuality
Treat data as a product with a decentralized approach to data management that emphasizes flexibility and accountability.
- Decentralize ownership: Empower domain teams to manage their own data, ensuring better business alignment and faster decision-making.
- Flexibility: Adapt to changing requirements by empowering teams to evolve their own data processes and technologies.
- Improved data quality: Promoting domain expertise and accountability, leading to more accurate and relevant data products.
Make data mesh a reality with CData Virtuality
Embrace a decentralized approach to data management, where data is considered a product to be managed by individual teams. These teams prepare and share the data so other business units can consume it in a self-service model.
CData Virtuality enables logical and distributed architectures — essential to the data mesh concept — by combining data virtualization and automated ETL.
Learn moreHow CData Virtuality works
Benefits of data mesh enabled by CData Virtuality
Scalability through decentralized data ownership
Teams can autonomously set up data assets and models, fostering a decentralized architecture supported by data virtualization — with or without data replication. By standardizing on SQL, data becomes universally accessible for diverse teams through CData Virtuality.
Data is easily discovered and understood
CData Virtuality makes data easily discoverable and addressable, enhancing accessibility and usability. Connectors facilitate access to data assets, while the data delivery layer provides a powerful, user-friendly foundation for treating data as products.
Support autonomous data consumption
A data modeling layer, accessible to business users and easily shareable, enhances collaboration and data understanding. Analytical and operational data can be seamlessly combined to fostering comprehensive insights and informed decision-making.
Global rules for federated governance
CData Virtuality offers unified governance for decentralized data, ensuring consistent oversight and compliance. It provides robust security measures, including features for data protection, row/column level security, and data masking. Integration with external identity and policy management platforms like Colibra facilitates identity and access management.
Data Connectors
ETL/ ELT Solutions
Cloud & API Connectivity
OEM & Custom Drivers