Beam Summit 2023 Sessions

These sessions were presented in Beam Summit 2023 on June 13-15 in New York City.

Title	Speaker(s)	Recording	Slides
A Beginners Guide to Avro and Beam Schemas Without Smashing Your Keyboard	Devon Peticolas
Accelerating Machine Learning Predictions with NVIDIA TensorRT and Apache Beam	Shubham Krishna
Apache Beam and Ensemble Modeling: A Winning Combination for Machine Learning	Shubham Krishna
Beam at Talend - the long road from incubator project to cloud-based Pipeline Designer tool	Alexey Romanenko
Beam in Nokia NWDAF Distributed Architecture	Ifat Afek & Sigalit Aliazov
Beam IO: CDAP and SparkReceiver IO Connectors Overview	Alex Kosolapov & Elizaveta Lomteva
Beam Lightning Talks	Pablo Estrada
Beam loves Kotlin: full pipeline with Kotlin and Midgard library	Mazlum Tosun
Beam ML past, present and future	Kerry Donny-Clark & Reza Rokni
Benchmarking Beam pipelines on Dataflow	Pranav Bhandari
Building Fully Managed Service for Beam Jobs with Flink on Kubernetes	Talat Uyarer & Rishabh Kedia
Case study: Using statefulDofns to process late arriving data	Amruta Deshmukh
CI CD for Dataflow with Flex Templates and Cloud Build	Mazlum Tosun
Community Discussion: Future of Beam	Alex Van Boxel
Cross-language JdbcIO enabled by Beam portable schemas	Yi Hu
Dataflow Streaming - What's new and what's coming	inigo-san-jose-visiers & Tom Stepp
Dealing with order in streams using Apache Beam	Israel Herraiz
Deduplicating and analysing time-series data with Apache Beam and QuestDB	Javier Ramirez
Design considerations to operate a stateful streaming pipeline as a service	Israel Herraiz & Bhupinder Sindhwani
Developing (experimental) Rust SDKs and a Beam engine for IoT devices	Sho Nakatani
Easy cross-language with SchemaTransforms: use your favorite Java transform in Python SDK	Ahmed Abualsaud
Founders' Panel	Robert Bradshaw, Kenneth Knowles, Reuven Lax & Federico Patota
From Dataflow Templates to Beam: Chartboost’s Journey	Austin Bennett & Ferran Fernandez
Getting started with Apache Beam Quest	Svetak Sundhar
Hot Key Detection and Handling in Apache Beam Pipelines	Shafiqa Iqbal & Ikenna Okolo
How many ways can you skin a cat, if the cat is a problem that needs an ML model to solve?	Kerry Donny-Clark
How to balance power and control when using Dataflow with an OLTP SQL Database	Florian Bastin & Leo Babonnaud
How to Fail with Real-time Analytics	Matthew Housley
How to write an IO for Beam	John Casey
Introduction to Clustering in Apache Beam	Jasper Van den Bossche
Large scale data processing Using Apache Beam and TFX libraries	Olusayo Olumayode Akinlaja
Loading Geospatial data to Google BigQuery	Dong Sun & Sean Jensen-Grey
Machine Learning Platform Tooling with Apache Beam on Kubernetes	Charles Adetiloye
Managed Stream Processing through Apache Beam at LinkedIn	Bingfeng Xia, Prateek Maheshwari & Xinyu Liu
Managing dependencies of Python pipelines	Valentyn Tymofieiev
Mapping Data to FHIR with Apache Beam	Alex Fragotsis
Meeting Security Requirements for Apache Beam Pipelines on Google Cloud	Lorenzo Caggioni
ML model updates with side inputs in Dataflow streaming pipelines	Anand Inguva
Multi-language pipelines: a unique Beam feature that will make your team more efficient	Chamikara Jayalath
Oops I actually wrote a Portable Beam Runner in Go	Robert Burke
Optimizing Machine Learning Workloads on Dataflow	Alex Chan
Overview of a State Processing Toolkit for Apache Beam	Harish Nagu Sana, Antonio Si & Prema devi Kuppuswamy
Parallelizing Skewed Hbase Regions using Splittable Dofn	Prathap Reddy
Per Entity Training Pipelines in Apache Beam	Jasper Van den Bossche
Power Realtime Machine Learning Feature Engineering with Managed Beam at LinkedIn	David Shao & Yanan Hao
Resolving out of memory issues in Beam Pipelines	Zeeshan
Running Apache Beam on Kubernetes: A Case Study	Sascha Kerbler
Running Beam Multi Language Pipeline on Flink Cluster on Kubernetes	Lydian Lee
Scaling Public Internet Data Collection With Apache Beam	Lior Dadosh
Scaling up the OpenTelemetry Collector with Beam Go	Alex Van Boxel
Simplifying Speech-to-Text Processing with Apache Beam and Redis	Pramod Rao & Prateek Sheel
Streamlining Data Engineering and Visualization with Apache Beam and Power BI: A Real-World Case Stu	Deexith Reddy
Too big to fail - a Beam Pattern for enriching a Stream using State and Timers	Tobias Kaymak & Israel Herraiz
Troubleshooting Slow Running Beam Pipelines	Mehak Gupta
Unbreakable & Supercharged Beam Apps with Scala + ZIO	Aris Vlasakakis & Sahil Khandwala
Use Apache Beam to build Machine Learning Feature System at Affirm	Hao Xu
Using Large Language Models in Data Engineering Tasks	Sean Jensen-Grey & Vince Gonzalez
Workshop: Application Modernization with Kafka and Beam	Sami Ahmed
Workshop: Catch them if you can - Observability and monitoring	Wei Hsia
Workshop: Complex event processing with state & timers	Israel Herraiz & Miren Esnaola
Workshop: Step by step development of a streaming pipeline in Python	Israel Herraiz & Anthony Lazzaro
Workshop: Testing Apache Beam Pipelines	Bipin Upadhyaya
Write your own model handler for RunInference!	Ritesh Ghorse