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...
Pinot Articles
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Co-authors: Xiang Zhang and Jingyu Zhu Introduction The Lambda architecture has become a popular architectural style that promises both speed and accuracy in data processing by using a hybrid approach of both batch processing and stream processing methods. But it also has some drawbacks, such as complexity and additional development/operational overheads. One of...
- Topics:
- Stream Processing,
- Pinot,
- Profile,
- Architecture,
- Kafka,
- batch processing
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Co-authors: Khai Tran and Steve Weiss Batch and streaming computations are often combined together in the Lambda architecture, but carry the cost of maintaining two different code bases for the same logic. We have previously shared on the blog a behind-the-scenes look at our approach into enabling the seamless translation of declarative batch code into streaming...
- Topics:
- Stream Processing,
- batch processing,
- Data,
- Pinot,
- Gobblin,
- Kafka,
- Samza
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Co-authors: Timothy Santos and Jeremy Lwanga LinkedIn is a mission-driven organization, and we take our mission of “connecting the...
- Topics:
- Pinot,
- Product Design
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Co-authors: Madhumita Mantri and Tyler James At LinkedIn, ThirdEye is used for business and platform health metrics monitoring,...
- Topics:
- artificial intelligence,
- monitoring,
- Pinot,
- machine learning,
- metrics,
- Data
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Built at LinkedIn, Pinot is an open source, distributed, and scalable OLAP data store that we use as our de-facto near-real-time...
- Topics:
- Pinot,
- metrics,
- Data,
- Open Source