LinkedIn started in 2003 with the goal of connecting to your network for better job opportunities. It had only 2,700 members the first week. Fast forward many years, and LinkedIn’s product portfolio, member base, and server load has grown tremendously. Today, LinkedIn operates globally with more than 350 million members. We serve tens of thousands of web pages...
Pinot Articles
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- Topics:
- scale,
- rest.li,
- Play,
- Open Source,
- Galene,
- Pinot,
- engineering culture,
- ESPRESSO,
- Kafka,
- inversion,
- Architecture,
- Voldemort,
- operations,
- Java,
- Search,
- Samza
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Last fall we introduced Pinot, LinkedIn’s real-time analytics infrastructure, that we built to allow us to slice and dice across billions of rows in real-time across a wide variety of products. Today we are happy to announce that we have open sourced Pinot. We’ve had a lot of interest in Pinot and are excited to see how it is adopted by the open source community...
- Topics:
- Pinot,
- A/B Testing,
- infrastructure,
- Analytics,
- Open Source
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When dealing with massive amounts of data at scale, it’s important to have state of the art infrastructure and algorithms that can make sense of all that information. I lead the Data Analytics Infrastructure team at LinkedIn; we work on core infrastructure components such as Hadoop and Spark, as well as develop other infrastructure to support analytics use cases...
- Topics:
- Pinot,
- data analytics,
- Cubert,
- infrastructure,
- Gobblin