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Learn about LinkedIn's powerful graph database LIquid in this technical presentation that explores how the platform handles a massive 15 terabyte graph while processing approximately 2 million queries per second. Dive into the architecture and implementation details of this large-scale relational graph database system as Scott Meyer explains how it was built to serve LinkedIn's extensive social network data requirements. Discover the engineering decisions, performance optimizations, and scalability features that enable LIquid to efficiently manage one of the world's largest professional network graphs.
Syllabus
LIquid: a Large-Scale Relational Graph Database
Taught by
InfoQ