Pinot Articles

  • Real-time analytics on network flow data with Apache Pinot

    September 13, 2022

    The LinkedIn infrastructure has thousands of services serving millions of queries per second. At this scale, having tools that provide observability into the LinkedIn infrastructure is imperative to ensure that issues in our infrastructure are quickly detected, diagnosed, and remediated. This level of visibility helps prevent the occurrence of outages so we can...

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    Load-balanced Brooklin Mirror Maker: Replicating large-scale Kafka clusters at LinkedIn

    April 11, 2022

    At LinkedIn, Apache Kafka is used heavily to store all kinds of data, such as member activity, log storage, metrics storage, and a multitude of inter-service messaging. LinkedIn maintains multiple data centers with multiple Kafka clusters per data center, each of which contains an independent set of data. Mirroring (i.e., replicating) Kafka topics across the...

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    Text analytics on LinkedIn Talent Insights using Apache Pinot

    June 16, 2021

    Co-authors: Siddharth Teotia and Tim Santos Introduction LinkedIn Talent Insights (LTI) is a platform that helps organizations understand the external labor market and their internal workforce, and enables the long term success of their employees. Users of LTI have the flexibility to construct searches using the various facets of the LinkedIn Economic Graph...

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    Solving for the cardinality of set intersection at scale...

    April 16, 2021

    Co-authors: Vincent Wang, Siddharth Teotia, Manoj Thakur, and Mayank Shrivastava As our LinkedIn Marketing Solutions Blog recently...

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    From Lambda to Lambda-less: Lessons learned

    December 1, 2020

    Co-authors: Xiang Zhang and Jingyu Zhu Introduction The Lambda architecture has become a popular architectural style that promises...

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    Bridging batch and stream processing for the Recruiter...

    July 14, 2020

    Co-authors: Khai Tran and Steve Weiss Batch and streaming computations are often combined together in the Lambda architecture, but...