Qingbo Hu is a Senior Business Analytics Associate in LinkedIn’s Analytics Data Mining team. His team provides end-to-end data mining solutions and builds machine learning models to support our partners from LinkedIn’s various business lines. Prior to joining LinkedIn as a full-time employee, Qingbo completed an internship with us on the Analytics Data Mining...
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- Topics:
- engineering culture,
- data science,
- Data Mining,
- Analytics
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Co-authors: Jiahui Qi and David He Everyday, LinkedIn serves hundreds of millions of pageviews to our members, from job searches to the news feed. Our network has grown to over 500 million members, and throughout our journey, “members-first” has been a fundamental value that we’ve carried. For our mission to continue improving the member experience, LinkedIn’s...
- Topics:
- A/B Testing,
- RUM,
- site speed,
- performance analysis
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What is the shape of your big data? While we do love to talk about the size of our big data—terabytes, petabytes, and beyond—perhaps we are not paying due recognition to the shape of it. Big data comes in a variety of shapes. The Extract-Transform-Load (ETL) workflows are more or less stripe-shaped (left panel in the figure above) and produce an output of a...
- Topics:
- machine learning,
- Big Data,
- Analytics
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Co-authors: Val Markovic and Vivek Nelamangala Serving a feed of relevant, personalized content to 500 million members is a massive...
- Topics:
- relevance,
- Feed Personalization
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LinkedIn wouldn't be the company it is today without the engineers who built it. We have no shortage of talented individuals in...
- Topics:
- infrastructure,
- engineering culture
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Analytics is the discovery, interpretation, and communication of actionable insights from big data. At LinkedIn, we have a...