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...
Data Articles
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- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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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...
- Topics:
- Apache Helix,
- Distributed Systems,
- ESPRESSO,
- Data
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Co-authors: Sriram Vasudevan, Cyrus DiCiccio, and Kinjal Basu At LinkedIn, our imperative is to create economic opportunity for every member of the global workforce, something that would be impossible to accomplish without leveraging AI at scale. We help members and customers make decisions by providing them with the most relevant insights based on the available...
- Topics:
- Spark,
- artificial intelligence,
- machine learning,
- Data,
- Open Source
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Co-authors: Gaurav Mishra, Song Lu, Antony Curtis, Shuangyang Yang Espresso is LinkedIn's horizontally scalable, highly-available, and...
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Co-authors: Sandhya Ramu and Vasanth Rajamani For companies and organizations, failure tends to be far more illuminating than success...
- Topics:
- Performance,
- Hadoop,
- data center,
- Data
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Co-authors: Konstantin Salomatin, Kirill Talanine, Barış Özmen, Gungor Polatkan, Linda Fayad, Arjun Kulothungun, and Deepak Kumar Our...