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How LinkedIn Uses MongoDB

9 engineering articles about MongoDB from LinkedIn's engineering team

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LinkedIn
Advanced
The article discusses LinkedIn's open sourcing of DataHub, a metadata search and discovery platform, detailing its development journey from WhereHows to DataHub.
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LinkedIn
Intermediate
The article discusses the development and implementation of LinkedIn Skill Assessments, which are standardized tests designed to validate user skills across various domains.
Christian Mathiesen
8 min read
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LinkedIn
Advanced
The article discusses the challenges of managing software dependencies at scale within LinkedIn's engineering environment, which includes over 10,000 separate software codebases.
Szymon Gizecki
12 min read
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LinkedIn
Intermediate
The article discusses the complex migration of SlideShare's technology stack to LinkedIn's data centers, highlighting the challenges faced and the strategies employed to ensure a seamless transitio...
Anatoly S.
9 min read
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LinkedIn
Beginner
The Skynet Project is a comprehensive set of tools designed to monitor, scale, and auto-heal cloud systems.
Sylvain Kalache
4 min read
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LinkedIn
Intermediate
The article discusses the implementation of Hadoop and HBase for near real-time analytics at SlideShare, detailing the upgrade process, technology selection, and the resulting improvements in data ...
Nikhil Prabhakar
21 min read
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LinkedIn
Intermediate
The article discusses geographic trends in skills as revealed by LinkedIn's Endorsement feature, highlighting differences in skill sets among technology hubs in the United States.
LinkedIn Engineering Team
4 min read
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LinkedIn
Intermediate
The article provides ten performance optimization tips for Node. js applications, specifically derived from LinkedIn's mobile server experience.
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LinkedIn
Intermediate
This article serves as an introduction to MongoDB, highlighting its growing popularity as a NoSQL database for web applications.
Hien Luu
2 min read
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