Data Articles

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    Helping members discover communities around interests

    September 17, 2020

    Co-authors: Chiachi Lo, Bohong Zhao, and Elina Lin When we launched a major redesign of LinkedIn’s mobile application and desktop web experiences a few years back, we focused the My Network tab to help professionals connect with each other on LinkedIn through our People You May Know feature. Over time, we realized there was much more we could do to help our 706M...

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    LIquid: The soul of a new graph database, Part 2

    September 16, 2020

    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...

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    Jhubbub on Helix: Stateless and elastic made easy

    August 27, 2020

    Co-authors: Hunter Lee and Dru Pollini LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover new opportunities and get better at what they do. An important part of our mission is helping people to find other professionals who are interested in the same things they...

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    Addressing bias in large-scale AI applications: The...

    August 25, 2020

    Co-authors: Sriram Vasudevan, Cyrus DiCiccio, and Kinjal Basu At LinkedIn, our imperative is to create economic opportunity for every...

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    Improving Espresso availability with preemptive...

    August 11, 2020

    Co-authors: Gaurav Mishra, Song Lu, Antony Curtis, Shuangyang Yang Espresso is LinkedIn's horizontally scalable, highly-available, and...

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    Theory vs. Practice: Learnings from a recent Hadoop incident

    August 6, 2020

    Co-authors: Sandhya Ramu and Vasanth Rajamani For companies and organizations, failure tends to be far more illuminating than success...