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.
Whether you want to build a semantic data access layer or simply replicate data in a central data warehouse, we have the right solution for you.
The unique combination of data virtualization and replication built to enable flexible and modern data architectures.
Self-service data pipelines to extract, transform and load data from any source to your central data warehouse.
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In this on-demand webinar, we look at how a modern data architecture can help data scientists to be faster and to work more efficiently.
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.
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.
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.
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.
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.
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