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Data Fabric

Increase agility and accelerate new and emerging business use cases.

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Architecture of a Data Fabric with the
Data Virtuality Platform

Data Fabric is a popular data architecture concept which enables a dynamic and holistic approach to data management. The ultimate goal of this relatively new concept is to help accelerate new and emerging business use cases by quickly gaining actionable insights with minimal efforts supported by workflow automations and AI-based recommendations. According to Gartner, data fabric “reduces time for integration design by 30%, deployment by 30% and maintenance by 70%” as existing abilities can be re-/used and different data integration styles are combined.

By combining the two technologies, data virtualization and automated ETL, and putting a uniformed metadata layer on top of them, the Data Virtuality Platform enables exactly the dynamic and holistic data management architecture needed to transform the data fabric from a concept to reality.

Data Fabric

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Your Key Benefits and Features

Better and Faster Time to Integrated Data Delivery

All data sources, whether in private or public cloud or on-premises can be easily integrated with the Data Virtuality Platform providing a single layer for data access and delivery. This way, data silos can be eliminated and avoided. Moreover, AI-based recommendation engines analyze the data usage patterns for optimized management processes - which leads to faster time to results.

Managing Heterogeneity

The Data Virtuality Platform facilitates lifting data into the cloud and the exchange of data between different storage systems in a hybrid- as well as multi-cloud environment so that current business needs can be easily met. The intelligent connectors within the Data Virtuality Platform support complex processes and optimize extract and load jobs of the data - even for large amounts of data.

Metadata Catalog

The metadata catalog in the Data Virtuality Platform makes the data searchable and downloadable to all business users (depending on their permissions). All data consumers in your organization can access the Business Data Shop in a web browser, which was specifically developed for them to search, access, query, and download the data.

Data Governance, Data Protection and Security

The Data Virtuality Platform provides several features to ensure a high level of security, incl. fine-granular permission layer (schema, table, column-, and row-level), built-in user/role-based permission system, and versioning for all custom metadata. This allows you to securely manage sensitive data and to increase efficiency as the users can solely focus on the relevant data as the irrelevant data is not accessible. You can always see who had access to which data or who was modifying the data models.

Related Resources

  • Whitepapers
Data Fabric Q&A Paper with Forrester

Data Fabric Q&A Paper with Forrester

In this Q&A paper Noel Yuhanna, VP and Principal Analyst at Forrester, answers frequently asked questions about the Data Fabric architecture.
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  • Whitepapers
Hybrid- and Multi-Cloud Architectures

Best Practices for Hybrid- and Multi-Cloud Architectures

This whitepaper describes best practices for orchestrating Hybrid- and Multi-Cloud architectures and how Data Virtuality can enable these.
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Phone: +49 341 26437217

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Trimburgstraße 2 | 81249 | Germany
Phone: +49 341 26437217

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Phone: +1 650 898 0227

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Our mission is to enable businesses to leverage the full potential of their data by providing a single source of truth platform to connect and manage all data.

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