Co-authors: Varun Saxena, Harikumar Velayutham, and Balamurugan Gangadharan LinkedIn is the largest global professional network and generates massive amounts of high-quality data. Our data infrastructure scales to store exabytes of data; data analysts, data scientists, and AI engineers then use this data to power several LinkedIn products and the platform as a...
Data Articles
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- Topics:
- data science,
- Data
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After joining LinkedIn Argentina, Juan took an Ireland-based opportunity to build a new EMEA (i.e., Europe, Middle East, and Africa) team of 50+ data scientists and software/infrastructure engineers. Now nearly a decade in, this globetrotter is collaborating with his AI team from his new home in Madrid. A nine-year adventure with LinkedIn I started my journey...
- Topics:
- EMEA,
- Leadership,
- Data,
- Latin America,
- Career Stories
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Co-authors: Steven Chuang, Qinyu Yue, Aravind Rao, and Srihari Duddukuru Introduction Having recently transitioned LinkedIn’s analytics stack (including 1400+ datasets, 900+ data flows, and 2100+ users) to one based on open source big data technologies, we wanted to give an overview of the journey in a blog post. This move freed us from the limits imposed by...
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Co-authors: Andy Li and Hongbin Wu Indexing plays the key role in modern search engines for fast and accurate information retrieval,...
- Topics:
- Spark,
- Data,
- Distributed Systems
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Co-authors: Keqiu Hu, Jonathan Hung, Haibo Chen, and Sriram Rao At LinkedIn, we use Hadoop as our backbone for big data analytics and...
- Topics:
- Hadoop,
- Data,
- Open Source
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Co-authors: Ze Mao, Matt Wise, Casey Getz, Justin Lin, Ashish Singhai, and Rob Block Introduction Ambry is LinkedIn's scalable...
- Topics:
- infrastructure,
- Data,
- Storage,
- Open Source