Bring Flexibility to Complexity
AI-Native Data Fabric uses semantic technologies to find “similar” data across various data sources and targets. Oftentimes, these sources are on different storage systems across on-premises and cloud. Data Fabric abstracts these complexities and pushes the focus on faster retrieval and data access.
Stating that data fabric allows organizations to discover data would be an understatement. AI-Native Data Fabric uses semantic technologies to find “similar” data across various data sources and targets. Oftentimes, these sources are on different storage systems across on-premises and cloud. Data Fabric abstracts these complexities and pushes the focus on faster retrieval and data access.
Harnessing the Power of Data Discovery
As data fabrics help unify data from multiple sources and provide a consistent view, they offer data lineage capabilities that help document data’s journey and provide transparency. Data fabrics offer powerful search functions.
This comprehensive view makes it easier to find specific data you need, understand context, and discover new, potentially useful data. Data fabric leverages automated tagging and classification based on machine learning algorithms. This automatically categorizes data elements based on content, format, usage, and other relevant attributes, further enhancing search and discovery.
Think Google search for your data! You can search by specific attributes, relationships between data elements, and even use natural language queries to find relevant data. This flexibility empowers users to easily find what they need, even if they don’t know exactly what it’s called. With GenAI, you can search and query data using natural language.
Engender Collaboration
One of the killer advantages of data fabric is that it engenders collaboration across various personas and teams. This accelerates the time to data discovery and, in turn, time to value. Users can share feedback and insights.
As data fabrics incorporate automated data profiling and classification capabilities, they generate metadata that can be used by other data governance and quality tools in the ecosystem.
AI Amplification
Data discovery use cases get even a bigger boost when AI is infused into the data fabric.
See how AI enhances data discovery