Presentations

A curated list of presentations and conference talks about Apache Pinot

2025

• SREcon25 Americas - Fully Automated HW SKU Selection System to Optimize Apache Pinot's Cost-to-Serve at LinkedIn - Jia Guo, Sabrina Zhao, Dino Occhialini (LinkedIn)

• Real-Time Analytics Summit 2025 - Multiple speakers (May 2025)

2024

• SREcon24 Americas - Strengthening Apache Pinot's Query Processing Engine with Adaptive Server Selection and Runtime Query Killing

• RTA Summit 2024 - Evolution of OLAP at Uber - Yupeng Fu (Uber)

• RTA Summit 2024 - Real-time anomaly detection at DoorDash - Will Gan (DoorDash)

• RTA Summit 2024 - Building an observability platform with Pinot - Neha Pawar (StarTree)

• RTA Summit 2024 - Real-time analytics for mobile app crashes - Ujwala Tulshigiri (Uber)

• Current 2024 - Speed of Apache Pinot at the Cost of Cloud Object Storage with Tiered Storage

• Azul Tech Talk - Big Data and Real-time Analytics with Apache Pinot - Tim Berglund (StarTree), Pratik Patel (Azul) (Sep 2024)

2023

• RTA Summit 2023 - Query Processing Resiliency in Pinot - Vivek Iyer & Jia Guo (LinkedIn)

• RTA Summit 2023 - Unlock the Value of Your Data with Apache Pinot and AWS - JP Santana & Wahab Syed (AWS)

• RTA Summit 2023 - Minions to The Rescue: Tackling Complex Operations in Apache Pinot - Haitao Zhang & Xiaobing Li (StarTree)

• RTA Summit 2023 - Get Your Data into Apache Pinot Faster with StarTree's Data Manager - Tim Santos & Seunghyun Lee (StarTree)

• RTA Summit 2023 - Building a Real-Time IoT Application with Apache Pulsar and Apache Pinot - Timothy Spann (Cloudera)

• RTA Summit 2023 - Backfill Upsert Table Via Flink/Apache Pinot Connector - Yupeng Fu (Uber)

• GOTO Chicago 2023 - Introduction to Real-Time Analytics with Apache Pinot - Tim Berglund (StarTree)

• GOTO Copenhagen 2023 - Making Kafka Queryable with Apache Pinot - Tim Berglund (StarTree)

• QCon London 2023 - Speed of Apache Pinot at the Cost of Cloud Object Storage with Tiered Storage - Neha Pawar (StarTree)

• Data + AI Summit 2023 - Optimizing Speed and Scale of User-Facing Analytics Using Apache Kafka and Pinot

• Current 2023 - Analytics: The Final Data Frontier

2022

• Kafka Summit London 2022 - Enabling Product Personalisation Using Apache Kafka, Apache Pinot and Trino - Stuart Coleman (10x Banking)

• HTAP Summit 2022 - Apache Pinot: OLAP at OLTP Scale - Mayank Shrivastava (StarTree)

• Current 2022 - Introduction to Apache Pinot - Tim Berglund (StarTree)

• RTA Summit 2022 - Migrating Low-Latency Time-Series Aggregation System to Pinot - Johan Adami (Stripe)

2021

• ApacheCon Asia 2021 - Running Realtime Analytics at scale with Apache Pinot at LinkedIn and Uber - Siddharth Teotia (LinkedIn) & Yupeng Fu (Uber)

• Kafka Summit Europe 2021 - Analyzing Petabyte Scale Financial Data with Apache Pinot and Apache Kafka - Xiaoman Dong & Joey Pereira (Stripe)

• Kafka Summit Europe 2021 - Look how easy it is to go from events to blazing-fast analytics! - Neha Pawar

• Kafka Summit APAC 2021 - Real-time Analytics with Upsert Using Apache Kafka and Apache Pinot - Yupeng Fu (Uber)

• Kafka Summit APAC 2021 - Building a Streaming Pipeline on Kubernetes Using Kafka Connect, KSQLDB & Apache Pinot

2020

• Kafka Summit 2020 - Apache Pinot Case Study: Building Distributed Analytics Systems Using Apache Kafka - Neha Pawar

• Apache Pinot Virtual Meetup @LinkedIn (Sep 02, 2020)

2019

• ApacheCon 2019 - Pinot: Enabling Real-time Analytics Applications @ LinkedIn's Scale - Seunghyun Lee

• Data Council SF 2019 - Building Real-Time Analytics Applications Using Apache Pinot: A Case Study of LinkedIn - Kishore Gopalakrishna (LinkedIn)

2018

• Pinot: Real-time OLAP for 530 Million Users - SIGMOD 2018 (Jun 2018)

2016

• Open Source Analytics Pipeline at LinkedIn (Sep 2016, covers Gobblin and Pinot)

• Introduction to Pinot (Jan 2016)

2015

• Pinot: Real-time Distributed OLAP Datastore (Aug 2015)

Additional Resources

• History of Apache Pinot (SlideShare) - Kishore Gopalakrishna

• Building a Real-Time Analytics Application with Apache Pulsar and Apache Pinot (SlideShare)

• Building Latency Sensitive User Facing Analytics via Apache Pinot (InfoQ) - Chinmay Soman (Uber)