Co-authors: Scott Meyer, Andrew Carter, and Andrew Rodriguez Editor’s note: This is the second part of a two-part blog series. Part 1 described how graph data relates to the in-memory graph of structures commonly used as models (as in “model-view-controller”) by applications, how graph data can be stored in a conventional relational database, and why...
knowledge graph Articles
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- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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Co-authors: Scott Meyer, Andrew Carter, and Andrew Rodriguez Editor’s note: In this two-part blog series, we introduce LIquid, a new graph database built by LinkedIn to support human real-time querying of the economic graph. It is a complete implementation of the relational model that supports fast, constant-time traversal of graph edges with a relational graph...
- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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Authors: Qi He, Bee-Chung Chen, Deepak Agarwal A shorter version of this post first appeared on Pulse, our main publishing platform at LinkedIn. In this version, we’ll dive deeper into the technical details behind the construction of our knowledge graph. At LinkedIn, we use machine learning technology widely to optimize our products: for instance, ranking search...
- Topics:
- machine learning,
- data science,
- knowledge graph