What we're about

Apache Pinot is a realtime distributed OLAP datastore, which is used to deliver scalable real time analytics with low latency. It can ingest data from batch data sources (S3, HDFS, Azure Data Lake, Google Cloud Storage) as well as streaming sources (such as Kafka). Pinot is used extensively at LinkedIn and Uber to power many analytical applications such as Who Viewed My Profile, Ad Analytics, Talent Analytics, Uber Eats and many more serving 100k+ queries per second while ingesting 1Million+ events per second.

Pinot committers are active on slack. Click here to join our slack channel.
This meetup is for developers and users of Apache Pinot to share information on
• How to use Pinot 
• Internals of Pinot 
• Products built on top of Pinot

More info on Pinot
Apache Pinot Website

Apache Pinot Docs 
Blog posts

> • https://engineering.linkedin.com/blog/2019/03/pinot-joins-apache-incubator
> • https://engineering.linkedin.com/blog/2019/06/star-tree-index--powering-fast-aggregations-on-pinot
>
> • https://engineering.linkedin.com/blog/2019/auto-tuning-pinot
>
> • Pinot at Uber

Upcoming events (1)

Real-Time Analytics Summit 2022, hosted by StarTree

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Real Time Analytics Summit, 16-17 August, 2022 SFO
Aug 16 & 17, 2022 | Hotel Nikko, San Francisco

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What’s the RTA Summit?
The Real Time Analytics Summit is happening on August 16+17 in San Francisco and we wanted to extend an invite to you and your team! It’s 2-days, 2-tracks of high-level and in-depth technical content. Would love it if you could join us!

Why You Should Attend:
Learn from the best! Deep dive into building real-time analytics systems. Explore practical use cases, and network with the pros. Join us to learn from the best, network with the community, and benefit from collective wisdom on real-time analytics.
Explore quality content, including use cases, patterns, and technical deep dives to help you design, build, and operate real-time analytics systems at scale to unlock insights from streaming data.

Who should attend:
Any professional in the data space, including but not limited to:
● Data engineers/architects
● Software/Application/Platform Engineers/Developers/Architects
● Analytics Business Intelligence/Data Leaders
● Data Scientists

Speakers (More TBA on rtasummit.com!):
Migrating a low-latency time-series aggregation system to run on Apache Pinot Johan Adami
Software Engineer, Stripe
Apache Pinot-powered Brooklin: Load-balanced Kafka replication at LinkedIn Subbu Subramaniam
Sr Staff Engineer, LinkedIn
Gently down the stream with Apache Pinot
Navina Ramesh
Software Engineer, StarTree
Neha Pawar
Founding Engineer, StarTree
From MySQL to Pinot: our journey
Luis Fernandez
Senior Software Engineer, Etsy
RTA at Scale: How Uber Handles 200M Pinot Queries Daily
Ankit Sultana
Software Engineer at Uber
Monitoring near real-time market risk with Pinot & Trino
Valentin Mahrwald
Lead of Data Platform, Citi Global Spread Products Technology
Vibhor Jaiswal
Architect Data Platform, Citi Global Spread Products Technology
Building a practical real-time data platform for everyone
Eric Sammer
CEO, Decodable

Past events (36)

Automated Anomaly Detection with StarTree Third Eye - Virtual meetup!

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