Why a Data Fabric is Imperative?

Data fabric solves complex data problems by streamlining data delivery, regardless of where data is stored, the data format or structure, or database association. It significantly simplifies data analysis by developing and deploying near real-time data products faster leveraging GenAI and machine learning.

Accelerate Data-Driven Decision-making with Data Discovery

Data fabrics bring together metadata information of assets from all your sources. This comprehensive view makes it easier to find, understand, and discover data. Automated tagging and classification aids in automatically categorizing data based on content, format, usage, and other relevant attributes, further enhancing searchability and discovery.

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Data Discovery

AI-Native Data Fabrics Democratize Data Analytics

AI-Native data fabrics include GenAI to speed data delivery, democratizing access to business and no-code users with natural language queries. This opens up more use cases to a wider base of non-technical business users.

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Streamline Data Analytics with Data Products

Data fabrics provide a complete, accurate, and up-to-date data product for analytics, applications, and business processes. By stitching data in various formats together from across disparate sources, data fabrics close the time gap between when data is requested to when it is fulfilled.

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Visualization of Meta Data, Analytics, and a Data Solution

Better Data Management Leveraging GenAI

Data fabrics leverages GenAI to automatically identify and classify data types, entities, and relationships. It can identify and rectify inconsistencies and missing values in data, improving its quality and completeness. AI can analyze fabric performance and resource utilization, and optimize it for improved efficiency and scalability.

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Big data visualization. Information analytics concept

Meet Regulatory Requirements with Governed and Secured Data

Data fabric enhances data governance by enforcing policies across diverse sources from a unified platform. It uses active metadata for tracking data quality and usage, and implementing secure access controls and encryption mechanisms to protect against unauthorized access.

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Data set analysis and visualization

AI-Native Real-time Insights for Rapid Decision Making

AI-Native data fabrics include GenAI to speed data delivery, democratizing access to business and no-code users with natural language queries. This opens up more use cases to a wider base of non-technical business users.

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Structuring the flow of information. Data analytics concept