Intertrust Data Virtualization

You want to travel. Your data doesn’t

Worried about compliance and data governance? Intertrust Data Virtualization brings secure analytics to your data.

No need to duplicate or migrate data to a data lake or centralized data warehouse.

With Intertrust Data Virtualization, all tasks such as data integration, data sanitization, policy and access integration, and correlation are defined in the virtual logical layer, which is then applied to data as it is fetched from the source data store.

You want to travel. Your data doesn’t under hero graphic

Make agile, data-driven operational decisions

Streamline internal and external data access and processing. Create logical datasets from existing data stores located on-premises or in the cloud.

Drive digital transformation.

Enable a proper data fabric framework

Strengthen enterprise data governance architectures
Integrate and simplify data management with granular data analysis and development
Speed up delivery times for data layer creation

Maintain strict access control over data

Share data seamlessly with specific stakeholders
Provide granular, row- and column-level security controls to the data stack
Run federated data queries, right at the source

Simplify data operations processes

Add value to data management with unparalleled agility
Standardize data for downstream consumption
Reduce analytics time-to-market, with a much shorter implementation cycle than traditional data integration

Intertrust Data Virtualization in action

As a key feature of the Intertrust Platform, Data Virtualization facilitates the integration of disparate multi-cloud/on-premises data sources and provides the core data operations for automotive, energy, utilities, smart city planning, and other verticals.

Automotive

Intertrust Data Virtualization enables the development and deployment of data science models that predict customer traffic at automobile service centers.

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Energy

Intertrust Data Virtualization services enable E.ON to manage data operations around their mission-critical electrical grid data and share it seamlessly with multiple stakeholders in the energy ecosystem in an agile process, with the best data security practices.

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Smart cities

Smart city planners and officials are turning to Intertrust to help create a trusted data exchange ecosystem that can allow secure data collaboration, aggregation, virtualization, and governance tools.

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Develop predictive analytics models and share with trusted partners

One of the world’s largest automakers is using Intertrust Platform to create a trusted data exchange ecosystem that enables collaboration with partners for innovative application development.

Case study

Automotive

Robust in-house application development without data warehousing.

Full control over entities sharing and using internal data.

Full adherence to data governance and access management policies.

Full audit reporting for data privacy compliance.

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Governed data analytics environments on virtualized datasets

Unlike data warehouses or data lakes, the Intertrust Platform does not require data to be moved or copied. The Platform operates with existing data stores using secure data virtualization.

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Governed data analytics environments on virtualized datasets

You want to travel. Your data doesn’t

Make agile, data-driven operational decisions

Enable a proper data fabric framework

Maintain strict access control over data

Simplify data operations processes

Intertrust Data Virtualization in action

Develop predictive analytics models and share with trusted partners

Automotive

Governed data analytics environments on virtualized datasets

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