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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

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GraphDB and metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action

Ontotext

Semantic Data Integration With GraphDB. In the context of the FROCKG project, we have loaded close to one billion triples in the knowledge graph and, if you want to explore it, you can easily write a SPARQL query that can create a sub-graph. Building a Knowledge Graph Application with metaphactory.

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Business Intelligence System: Definition, Application & Practice

FineReport

In addition, data warehouse provides a data storage environment where data onto multiple data sources will be ETLed(Extracted, Transformed, Dunked) , cleaned up, and stored on a specific topic, indicating powerful data integration and maintenance capabilities of BI. Data Analysis. Data Visualization.