Speaker: Neha Pawar

She / her / hers

Founding Engineer @StarTree

Neha Pawar is a Founding Engineer at StarTree (https://www.startree.ai/), which aims to democratize data for all users by providing real-time, user-facing analytics. Prior to this, she was part of LinkedIn's Data Analytics Infrastructure org for 5 years, working on Apache Pinot & ThirdEye. She is passionate about big data technologies and real-time analytics databases.

Neha is an Apache Pinot PMC and Committer. She has made numerous impactful contributions to Apache Pinot, with a focus on storage optimizations, tiered storage, real time streaming integrations and ingestion. She actively fosters the growing Apache Pinot community & loves to evangelize Pinot by making entertaining video tutorials & illustrations.

When not sipping Pinot, you can find Neha painting or hiking with her dogs.

Session

Speed of Apache Pinot at the Cost of Cloud Object Storage with Tiered Storage

For real-time analytics, you need systems that can provide ultra low latency (milliseconds) and extremely high throughput (hundreds of thousands of queries per second).

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Date

Monday Mar 27 / 11:50AM BST ( 50 minutes )

Location

Windsor (5th Fl.)

Topics

Apache Pinot data access real-time analytics storage

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