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Monday, July 18, 2022

09:50
09:50 - 10:00.
Welcome
by Beam Summit Team
Room: 204
Watch
10:00 - 10:25.
Google's investment on Beam, and internal use of Beam at Google
by Kerry Donny-Clark
Room: 204
Watch
10:25 - 10:50.
Machine learning design patterns: between Beam and a hard place
by Lak Lakshmanan
Room: 204
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10:50 - 11:15.
Tailoring pipelines at Spotify
by Rickard Zwahlen
Room: 204
Watch
11:15 - 11:40.
The adoption, current state and future of Apache Beam at Twitter
by Lohit Vijayarenu
Room: 204
Watch
11:40
Break
12:00
12:00 - 12:50.
Vega: Scaling MLOps Pipelines at Credit Karma using Apache Beam and Dataflow
by Debasish Das & Vishnu Venkataraman
Room: 204
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12:00 - 12:50.
Houston, we've got a problem: 6 principles for pipelines design taken from the Apollo missions
by Israel Herraiz & Paul Balm
Room: 203
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12:00 - 12:25.
RunInference: Machine Learning Inferences in Beam
by Andy Ye
Room: 202
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12:30 - 12:55.
Speeding up development with Apache Beam (Adobe Experience Platform)
by Constantin Scacun & Alexander Falca
Room: 202
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13:00
Lunch
14:00
14:00 - 14:50.
Powering Real-time Data at Intuit: A Look at Golden Signals powered by Beam
by Omkar Deshpande, Dunja Panic, Nick Hwang & Nagaraja Tantry
Room: 204
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14:00 - 14:50.
How the sausage gets made: Dataflow under the covers
by Pablo Estrada
Room: 203
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14:00 - 14:25.
State of the Go SDK 2022
by Robert Burke
Room: 202
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14:30 - 14:55.
How to break Wordle with Beam and BigQuery
by Iñigo San Jose Visiers
Room: 202
Watch
15:00
15:00 - 15:50.
BlueVoyant: Detecting Security Dumpster Fires on the Internet
by Alfredo Gimenez, Adam Najman, Tucker Leavitt & Tyler Flach
Room: 204
Watch
15:00 - 15:50.
Migration Spark to Apache Beam/Dataflow and hexagonal architecture + DDD
by Mazlum Tosun
Room: 203
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15:00 - 15:25.
Introduction to performance testing in Apache Beam
by Alexey Romanenko
Room: 202
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15:30 - 15:55.
From script slums to beam skyscrapers
by Shailesh Mangal
Room: 202
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16:00
Break
16:15
16:15 - 16:40.
Data Integration on cloud made easy using Apache Beam
by Parag Ghosh
Room: 204
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16:45 - 17:10.
Collibra’s Telemetry Backbone - OpenTelemetry and Apache Beam
by Alex Van Boxel
Room: 204
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16:15 - 16:40.
How to benchmark your Beam pipelines for cost optimization and capacity planning
by Roy Arsan
Room: 203
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16:45 - 17:10.
Strategies for caching data in Dataflow using Beam SDK
by Zeeshan
Room: 203
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16:15 - 17:15.
Cloud Spanner change streams and Apache Beam
by Haikuo Liu, Nancy Xu & Le Chang
Room: 202
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17:15
17:15 - 18:05.
New Avro serialization and deserialization in Beam SQL
by Talat Uyarer
Room: 204
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17:15 - 18:05.
Implementing Cloud Agnostic Machine Learning Workflows with Apache Beam on Kubernetes
by Charles Adetiloye & Alexander Lerma
Room: 203
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18:05
Reception 18:05 - 20:00 hrs

Tuesday, July 19, 2022

10:00
10:00 - 10:25.
Where is Beam leading Data Processing now?
by Kenn Knowles
Room: 204
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10:25 - 10:50.
Palo Alto Networks' massive-scale deployment of Beam
by Talat Uyarer
Room: 204
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10:50 - 11:15.
Beam as a High-Performance Compute Grid
by Peter Coyle & Raj Subramani
Room: 204
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11:20
Break
12:00
12:00 - 12:50.
Optimizing a Dataflow pipeline for cost efficiency: lessons learned at Orange
by Jérémie Gomez & Thomas Sauvagnat
Room: 204
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12:00 - 12:25.
Oops, I wrote a Portable Beam Runner in Go
by Robert Burke
Room: 203
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12:30 - 12:55.
Combine by Example - OpenTelemetry Exponential Histogram
by Alex Van Boxel
Room: 203
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12:00 - 12:50.
Visually build Beam pipelines using Apache Hop
by Matt Casters
Room: 202
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13:00
Lunch
14:00
14:00 - 14:25.
Unified Streaming and Batch Pipelines at LinkedIn using Beam
by Shangjin Zhang & Yuhong Cheng
Room: 204
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14:30 - 14:55.
Detecting Change-Points in Real-Time with Apache Beam
by Devon Peticolas
Room: 204
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14:00 - 14:50.
Beam in Production: Working with DataFlow Flex temples and Cloud Build
by Ragy Abraham
Room: 203
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14:00 - 14:50.
Log ingestion and data replication at Twitter
by Praveen Killamsetti & Zhenzhao Wang
Room: 202
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15:00
15:00 - 15:50.
Streaming NLP infrastructure on Dataflow
by Alex Chan & Angus Neilson
Room: 204
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15:00 - 15:50.
Relational Beam: Process columns, not rows!
by Andrew Pilloud & Brian Hulette
Room: 203
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15:00 - 15:50.
Error handling with Apache Beam and Asgarde library
by Mazlum Tosun
Room: 202
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16:00
Break
16:15
16:15 - 17:05.
Developing PulsarIO Connector
by Marco Robles
Room: 204
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16:15 - 16:40.
Writing a native Go streaming pipeline
by Danny McCormick & Jack McCluskey
Room: 203
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16:45 - 17:10.
Beam data pipelines on microservice architectures
by Pragalbh Srivastava
Room: 203
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16:15 - 16:40.
Use of shared handles for Cache reuse across DoFn’s in Python
by Amruta Deshmukh
Room: 202
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16:45 - 17:10.
Playing the Long Game - Transforming Ricardo's Data Infrastructure with Apache Beam
by Tobias Kaymak
Room: 202
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17:15
17:15 - 18:05.
Online clustering and semantic enrichment of textual data with Apache Beam
by Konstantin Buschmeier
Room: 204
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17:15 - 18:05.
Scaling up pandas with the Beam DataFrame API
by Brian Hulette
Room: 203
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17:15 - 17:40.
Apache Beam backend for open source Scalding
by Navin Viswanath
Room: 202
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Wednesday, July 20, 2022

09:00
09:00 - 12:00.
Scio in-depth workshop
by Michel Davit, Israel Herraiz, Claire McGinty, Kellen Dye & Annica Ivert
Room: 202
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09:00 - 09:25.
Real time liveness status of industrial sensors with Apache Beam on Dataflow runner and Yugabyte
by Kamaljeet Singh
Room: 201 (remote)
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09:30 - 09:55.
Supporting ACID transactions in a NoSQL database with Apache Beam
by Jan Lukavský
Room: 201 (remote)
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10:00 - 10:50.
Improving Beam-Dataflow Pipelines for Text Data Processing
by Sayak Paul & Nilabhra Roy Chowdhury
Room: 201 (remote)
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11:00 - 11:10.
Beam Playground: discover, learn and prototype with Apache Beam
by Daria Malkova
Room: 201 (remote)
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11:10 - 11:20.
GCP Beam Common Customer Issues
by Svetak Sundhar
Room: 201 (remote)
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11:20 - 11:30.
The Ray Beam Runner Project: A Vision for Unified Batch, Streaming, and ML
by Patrick Ames, Jiajun Yao & Chandan Prasad
Room: 201 (remote)
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12:00
Lunch
12:30
12:30 - 15:00.
Splittable DoFns in Python: a hands-on workshop
by Israel Herraiz & Miren Esnaola
Room: 202
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