Graph Databases
Glossary Page
Graph databases simplify and accelerate access to data with complex relationships. Graphs consist of nodes (entities), edges (connections), and properties (key values), making them suitable for storing and querying data with strong relationships. Unlike key-value databases, graph databases directly support connections and allow for fast access to highly interconnected data. Use cases for graph databases include social networking applications like Facebook, Twitter, or LinkedIn, recommendation engines, pattern analysis for fraud prevention and consumer behavior analysis, communication network analysis for load balancing and routing, identity and permission management, and predictive analytics.
https://www.bitkom.org/sites/default/files/file/import/140228-Big-Data-Technologien-Wissen-fuer-Entscheider.pdf
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Dataspaces tour through Europe: T-Systems in Naples and Vienna
Join the forefront of innovation with Telekom Data Intelligence Hub's cutting-edge dataspaces solutions, in partnership with IDSA. Explore the transformative potential of sovereign data sharing through cross-country collaborations, paving the way for a new era of digital possibilities.
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