Co-authors: Vincent Wang, Siddharth Teotia, Manoj Thakur, and Mayank Shrivastava As our LinkedIn Marketing Solutions Blog recently noted, companies and marketers “are once again peering ahead, setting their plans for success in a reshaped business environment.” One of the items businesses rely on to do this are insights, including the estimated reach of an...
scale Articles
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Co-authors: Alexander Ivaniuk and Weitao Duan Editor’s note: This blog post is the second in a series providing an overview and history of LinkedIn’s experimentation platform. The previous post on the history of LinkedIn’s experimentation infrastructure can be found here. Introducing variant assignment Previously on the blog, we’ve shared a look into how...
- Topics:
- scale,
- A/B Testing,
- infrastructure,
- T-REX
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Co-authors: Walaa Eldin Moustafa, Wenye Zhang, Sushant Raikar, Raymond Lam, Ron Hu, Shardul Mahadik, Laura Chen, Khai Tran, Chris Chen, and Nagarathnam Muthusamy Introduction At LinkedIn, our big data compute infrastructure continually grows over time, not only to keep pace with the growth in the number of data applications, or their domains spanning data...
- Topics:
- scale,
- Apache Pig,
- Data,
- Dali,
- Open Source
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Editor’s note: This blog post is the first in a series providing an overview and history of LinkedIn’s experimentation platform. At...
- Topics:
- scale,
- A/B Testing,
- infrastructure,
- T-REX,
- experimentation
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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...
- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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Co-authors: Scott Meyer, Andrew Carter, and Andrew Rodriguez Editor’s note: In this two-part blog series, we introduce LIquid, a new...
- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data