In March, LinkedIn joined the recently announced Mobile Native Foundation (MNF), a Linux Foundation project launched with the support of Airbnb, Corellium, Elotl, Flare.build, GitHub, GogoApps, Haystack, Line, Lyft, Microsoft, screenplay.dev, Slack, Solid Software, and Spotify. The goal of the Mobile Native Foundation is to disseminate knowledge and tooling...
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- Topics:
- Mobile,
- iOS,
- Testing,
- Open Source
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Co-authors: Ian Ackerman and Saurabh Kataria Editor’s Note: Multi-objective optimization (MOO) is used for many products at LinkedIn (such as the homepage feed) to help balance different behaviors in our ecosystem. There are two parts to how we work with multiple objectives: the first is about training high-fidelity models to predict member behavior (e.g.,...
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Co-authors: Konstantin V. Shvachko, Chen Liang, and Simbarashe Dzinamarira LinkedIn runs its big data analytics on Hadoop. During the last five years, the analytics infrastructure has experienced tremendous growth, almost doubling every year in data size, compute workloads, and in all other dimensions. It recently reached two important milestones. LinkedIn now...
- Topics:
- scale,
- Hadoop,
- Distributed Systems,
- infrastructure
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Co-authors: Parvez Ahammad, Kinjal Basu, Shaunak Chatterjee, Sakshi Jain, Ryan Rogers, and Guillaume Saint-Jacques At LinkedIn, our...
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Co-authors: Reza Hosseini, Albert Chen, Kaixu Yang, Sayan Patra, Rachit Arora, and Parvez Ahammad In this blog post, we introduce the...
- Topics:
- data science,
- machine learning,
- Data,
- Open Source
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Co-authors: YinYin Yu, Guillaume Saint Jacques, and Paul Matsiras Introduction In 2019, LinkedIn announced an initiative to close the...
- Topics:
- data science,
- Data,
- economic graph