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BUILD YOUR DATA FABRIC
WITH DATA VIRTUALITY
Turn the theory of a data fabric into practice with the
Data Virtuality Logical Data Warehouse.

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A framework for a dynamic and holistic approach to data management called data fabric is increasingly catching attention. The ultimate goal of this relatively new concept is to gain actionable insights with minimal efforts supported by workflow automations and AI-based recommendations. The integrative data landscape in a data fabric embraces hybrid- and/or multi-cloud architectures to improve data visibility and insights. Further essential components of a data fabric are data protection and security, data catalog, data preparation, data governance, and data modelling. With this comprehensive approach, organizations gain the flexibility for a multitude of use cases.

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

ARCHITECTURE OF A DATA FABRIC WITH THE LOGICAL DATA WAREHOUSE

Self-Service Semantic Layer Architecture

YOUR KEY BENEFITS

Fully Integrated and Efficient Data Landscape
All data sources, whether in private or public cloud or on-premises can easily be integrated with the Logical Data Warehouse 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 - for ultimately faster to time results.
Seamless Data Access
The Logical Data Warehouse facilitates lifting data into the cloud and the exchange of data between different storage systems. The intelligent connectors within the Logical Data Warehouse support complex processes and optimize extract and load jobs of the data - even for large amounts of data. Ultimately, the data from various data sources is available in the different BI tools.
Metadata Catalog
The metadata catalog in the Logical Data Warehouse 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.
Flexible and Efficient Data Modeling Capabilities
Modeling the data in a virtual context comes with the highest flexibility and lowest maintenance efforts. Based on the virtual views data models can be quickly tested (Rapid Prototyping), adapted to the business needs, and provided in the semantic layer with simple SQL. This also enables you to provide good quality data to your data consumers in a speedy and flexible manner without a lot of effort.
Data Protection and Security
The Logical Data Warehouse 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.

CUSTOMER SPOTLIGHT

RULE YOUR DATA

Whether you simply want to replicate your data or need real time data and an SQL data modeling layer, we know the pains. We are here to help.

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