Pinot, an open source scalable distributed columnar OLAP data store, is used extensively across almost all areas of LinkedIn. It drives member-facing use cases such as Feed Item Popularity and Who Viewed My Profile, supports recruiter tools such as Talent Intelligence, and holds the data for our internal unified metrics platform. Pinot adoption has grown...
Pinot Articles
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- Topics:
- Performance,
- Pinot,
- linux
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As the year draws to a close, we’re taking a look back at ten of our most popular 2019 articles on the LinkedIn Engineering Blog. Examining the list, it’s clear that topics pertaining to open source and artificial intelligence are some of the most popular, as are posts that look at how we tackle technical challenges at scale. We’re excited to share new progress...
- Topics:
- artificial intelligence,
- Pinot,
- Feed Personalization ,
- Security,
- Kafka,
- SRE
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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...
- Topics:
- scale,
- Developer Productivity,
- Pinot,
- infrastructure
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Pinot is an open source, scalable distributed OLAP data store that entered the Apache Incubation recently. Developed at LinkedIn, it...
- Topics:
- Pinot,
- Distributed Systems,
- Open Source
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Earlier this year, we published a blog post sharing details on ThirdEye, LinkedIn’s comprehensive platform for real-time monitoring...
- Topics:
- monitoring,
- metrics,
- Pinot
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Pinot is a scalable distributed OLAP data store developed at LinkedIn to deliver real-time, low latency analytics. Pinot’s powerful...
- Topics:
- Pinot,
- Open Source