Pinot, a scalable distributed columnar OLAP data store developed at LinkedIn, delivers real-time analytics for site-facing use cases such as LinkedIn's Who viewed my profile, Talent insights, and more. Pinot uses Apache Helix for managing cluster resources and Apache Zookeeper to store metadata. Pinot has wide adoption at LinkedIn, ranging from internal...
Developer Productivity Articles
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- Topics:
- scale,
- infrastructure,
- Developer Productivity
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With over 630 million members, the LinkedIn platform delivers thousands of features that individually serve and store large amounts of diverse data. Protecting, maintaining, and serving data has always been of paramount importance for enriching the member experience and ensuring service reliability. In this blog post, we’ll address a critical part of data...
- Topics:
- scale,
- infrastructure,
- Developer Productivity
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Co-authors: Joel Young, Bee-Chung Chen, Bo Long, Marius Seritan, and Priyanka Gariba The rate at which artificial intelligence (AI) knowledge is being disseminated and the rate of change in applied AI technologies show no signs of slowing down. Today’s software engineers are increasingly learning machine learning (ML) strategies as undergraduate students, and...
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At LinkedIn, when our engineers create software, there is often a need to leverage some of the great work done by the open source...
- Topics:
- Developer Productivity,
- Developer Experience,
- tools,
- Code
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Jeff Weiner famously compared managing a company in hypergrowth to launching a rocket - “If your trajectory is off by inches at launch...
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At LinkedIn, we've been using the Play Framework in production for over a year. At the 2014 Ping Conference, I gave a talk about some...
- Topics:
- Performance,
- Streaming,
- Developer Productivity,
- Play,
- Tech Talk