Imagine a tool that can store and connect all the information you need to make decisions and solve problems. Most people would say it’s nice to think about, but not yet possible. The good news is this tool already exists - and it’s called a graph database. At LinkedIn, technologies like graph databases are essential to powering today's platform, while being...
scale Articles
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- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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Co-authors: Kenneth Tay and Xiaofeng Wang At Linkedin, we constantly evaluate the value our products and services deliver, so that we can provide the best possible experiences for our members and customers. This includes understanding how product changes impact key metrics related to those experiences. However, simply looking at connections between product...
- Topics:
- infrastructure,
- scale,
- A/B Testing
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Co-authors: Kinjal Basu, Yao Pan, Rohan Ramanath, Konstantin Salomatin, Amol Ghoting, and S. Sathiya Keerthi Building thriving internet or web products requires optimizing for multiple business metrics. In many applications, these business metrics can move in conflicting directions, and delicately balancing these tradeoffs can be vital for the success of a...
- Topics:
- artificial intelligence,
- scale,
- machine learning,
- Open Source
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Co-authors: Xiaoyang Gu, Xie Lu, and Xiaoguang Wang Introduction In August 2019, we introduced our members and customers to the idea...
- Topics:
- infrastructure,
- scale,
- Data
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Within a matter of hours of each day beginning, we ingest tens of billions of records from online sources to HDFS, aggregated across...
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Co-authors: Konstantin V. Shvachko, Chen Liang, and Simbarashe Dzinamarira LinkedIn runs its big data analytics on Hadoop. During the...
- Topics:
- scale,
- Hadoop,
- Distributed Systems,
- infrastructure