Apache Pinot Virtual Meetup with Uber

Using Apache Pinot at Scale: Experiences from Uber, LinkedIn, & Other Companies

Apache Pinot is a distributed columnar database for real-time analytics. It powers many well-known applications, including LinkedIn’s Who Viewed My Profile feature and Uber Eats timely analytics. Since Pinot joined Apache Incubator in 2019, it has gained a lot of momentum with a growing community. We will be announcing the upcoming release of Pinot which introduces numerous major features and underwent extensive refactoring to make Pinot easier to use. Join us to learn about all the cool things that went into the new version of Pinot!

Agenda
6:50pm Zoom channel open
7:00-7:05 pm Welcome by Uber (Ting Chen)
7:05-7:30 pm History of Apache Pinot (Kishore Gopalakrishna)
7:30-8:00 pm Leveraging Pinot at Uber for Large-scale Analytics (Haibo Wang and James Shao)
8:00-8:30 pm New Features on Pinot: standard SQL, cloud readiness and more (Siddharth Teotia, Xiang Fu)
8:30-8:45 pm Pinot roadmap (Kishore Gopalakrishna)

Pinot's community Slack channel:

https://communityinviter.com/apps/apache-pinot/apache-pinot

Talk Details:

Talk 1: History of Apache Pinot

Speaker: Kishore Gopalakrishna (Apache Pinot Author)

Two of the most frequently asked questions about Pinot’s history are “Why did LinkedIn build Pinot?”, “How is it different from Druid, ElasticSearch, Kylin?”. In this talk, we will go over the use cases that motivated us to build Pinot and how it has changed the analytics landscape at LinkedIn, Uber, and other companies.

Talk 2: Leveraging Pinot at Uber for Large-scale Analytics

Speakers: Haibo Wang and James Shao (Uber)

In this presentation, we will discuss how Pinot empowers timely analytics at Uber. We will also dive into how we built an open-source Presto connector to enable complex SQL queries on Pinot and other data sources, and how we developed upsert into Pinot to allow mutable data in real-time tables.

Talk 3: New Features on Pinot — standard SQL, cloud readiness and more

Speakers: Siddharth Teotia (LinkedIn), Xiang Fu (Apache Pinot Author)

We will discuss SQL support, text analytics and new plugin architecture. We will then dive into cloud based deployment of Pinot using Kubernetes along with deep storage support.