Co-authors: Cong Gu, Abin Shahab, Chen Qiang, Keqiu Hu Editor's note: This post was updated on June 10, 2020 LinkedIn AI has been traditionally Hadoop/YARN based, and we operate one of the world’s largest Hadoop data lakes, with over 4,500 users and 500PB of data. In the last few years, Kubernetes has also become very popular at LinkedIn for Artificial...
Security Articles
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- Topics:
- Hadoop,
- Security,
- Open Source
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Our members place their trust in us, and expect and deserve a safe and trusted community where they can express themselves professionally. We are constantly investing in a variety of systems (Automated Fake Account Detection at LinkedIn, Defending Against Abuse at LinkedIn’s Scale, and How We’re Protecting Members From Fake Profiles) to help automatically detect...
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As the year draws to a close, we’re taking a look back at ten of our most popular 2019 articles on the LinkedIn Engineering Blog. Examining the list, it’s clear that topics pertaining to open source and artificial intelligence are some of the most popular, as are posts that look at how we tackle technical challenges at scale. We’re excited to share new progress...
- Topics:
- artificial intelligence,
- Pinot,
- Feed Personalization ,
- Security,
- Kafka,
- SRE
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Co-authors: Stuart Ambler, Ahsan Chudhary, Mark Dietz, Sahin Cem Geyik, Krishnaram Kenthapadi, Ian Koeppe, Varun Mithal, Guillaume...
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LinkedIn members entrust us with their personal data and we are committed to working hard every day to maintain that trust within a...
- Topics:
- scale,
- Security,
- trust engineering,
- Data
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LinkedIn is committed to building a safe, trusted, and professional environment. Building the infrastructure to detect and mitigate...
- Topics:
- Security,
- trust engineering