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LinkedIn Data Storage and Analytics Case Study by Kumar Ashish Gupta is a document available to read on EtoBox.

What is LinkedIn Data Storage and Analytics Case Study about?

LinkedIn uses Project Voldemort, an open source distributed key-value store, to store and retrieve user data at scale. Voldemort provides high performance, data replication across servers, automatic data partitioning, and transparent handling of failures. It allows LinkedIn to scale horizontally and achieve high availability without requiring a separate caching tier like traditional relational databases.

Author

Kumar Ashish Gupta

Language

EN