Built at LinkedIn, Pinot is an open source, distributed, and scalable OLAP data store that we use as our de-facto near-real-time analytics service. We’ve previously discussed how and why we built Pinot to power a wide spectrum of use cases, including internal business intelligence dashboards to analyze highly-dimensional data and “Who Viewed My Profile” to...
Pinot Articles
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- Topics:
- Pinot,
- metrics,
- Data,
- Open Source
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Co-authors: Yen-Jung Chang, Yang Yang, Xiaohui Sun, and Tie Wang At LinkedIn, ThirdEye is the backbone of our monitoring toolkit. We use it to keep track of a variety of metrics, whether it be related to production infrastructure and AI model performance, or business impact, such as page view or click count. It’s a key quality assurance system because it...
- Topics:
- monitoring,
- Pinot,
- metrics,
- Data
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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...
- Topics:
- Performance,
- Pinot,
- linux,
- Data
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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....
- 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...
- Topics:
- scale,
- Developer Productivity,
- Pinot,
- infrastructure,
- Data
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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,
- Data,
- Open Source