Agenda
Monday, April 24
12:00 pm - 6:00 pm (pst)
12:00 pm - 6:00 pm
5:00 pm - 6:30 pm (pst)
5:00 pm - 6:30 pm
6:00 pm - 8:00 pm (pst)
6:00 pm - 8:00 pm
Tuesday, April 25
7:30 am - 5:00 pm (pst)
7:30 am - 5:00 pm
8:00 am - 9:00 am (pst)
8:00 am - 9:00 am
9:00 am - 5:30 pm (pst)
9:00 am - 5:30 pm
9:00 am - 9:45 am (pst)
9:00 am
The Real-Time Revolution Has Come for Analytics

Kishore Gopalakrishna
12:00 pm - 10:04 pm (pst)
12:00 pm
Minions to The Rescue—Tackling Complex Operations in Apache Pinot

Haitao Zhang

Xiaobing Li
12:00 pm
Role Based Access Control in Real-Time Streaming Data: What, Why and How

Hojjat Jafarpour
12:00 pm
Calculating the Value of Pie: Real-Time Survey Analysis With Apache Kafka®

Danica Fine
12:00 pm
Query Processing Resiliency in Pinot

Vivek Iyer

Jia Guo
12:00 pm

Darin Briskman
12:00 pm
Improving Customer Satisfaction with Automated Monitoring and Anomaly Detection

Madhumita Mantri

Leon Graveland
12:45 pm - 1:30 pm (pst)
12:45 pm - 1:30 pm
12:00 pm - 10:04 pm (pst)
12:00 pm
Deeply Declarative Data Pipelines

Ryanne Dolan
12:00 pm
Elementary Analytics with Kafka Streams

Anna McDonald
12:00 pm
Streaming Aggregation of Cloud Scale Telemetry

Shay Lin
12:00 pm
Introducing the Quix Streams Library—a Python-Kafka Connector for Data-Intensive Workloads

Tomas Neubauer
12:00 pm
Gently Down the Stream with Apache Pinot

Navina Ramesh
12:00 pm
Hydrating Real-Time Data in Pinot with Fast Batch Queries on Trino

Elon Azoulay

Martin Traverso
12:00 pm - 10:05 pm (pst)
12:00 pm
A Match Made in Data: Matching Analytics Data with Real-Time Usecases

Ben Gamble
12:00 pm
Rippling Real-Time and Customer-Facing Query and Data Platform

Nizar Hejazi
5:30 pm - 7:00 pm (pst)
5:30 pm - 7:00 pm
6:30 pm - 9:30 pm (pst)
6:30 pm - 9:30 pm
Wednesday, April 26
7:30 am - 12:00 pm (pst)
7:30 am - 12:00 pm
8:00 am - 9:00 am (pst)
8:00 am - 9:00 am
9:00 am - 4:30 pm (pst)
9:00 am - 4:30 pm
9:00 am - 9:45 am (pst)
9:00 am

Gwen Shapira
9:45 am - 10:30 am (pst)
9:45 am - 10:30 am
12:00 pm - 10:05 pm (pst)
12:00 pm
Get Your Data into Apache Pinot Faster with StarTree’s Data Manager

Tim Santos
12:00 pm
Interpolating Time Series Data On Demand

Lakshmanan Velusamy
12:00 pm
Using Flink & Pinot for Complex User-Facing Analytics

Ken Krugler
12:45 pm - 1:30 pm (pst)
12:45 pm - 1:30 pm
12:00 pm - 10:05 pm (pst)
12:00 pm
Upgrading Log-Analytics Clusters to OpenSearch

Amitai Stern
12:00 pm
Leveraging Pinot’s Plugin Architecture to Build a Unified Stream Decoder

Mike Davis
12:00 pm
Building a Real-Time IoT Application with Apache Pulsar and Apache Pinot

Timothy Spann
12:00 pm

Neha Pawar

Chinmay Soman
12:00 pm
Backfill Upsert Table Via Flink/Pinot Connector

Yupeng Fu

