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Conferences / Beam Summit

Beam Summit 2024

Sep 4–5, 2024 · Google campus, building MP-6, Sunnyvale, CA, United States

Conference
Beam Summit Database
Dates
Sep 4, 2024 – Sep 5, 2024
Venue
Google campus, building MP-6
Place
Sunnyvale, CA, United States
Format
In person
Status
Past
Attendance
—
Apache Beam blog: 47 talks; speakers and attendees from 23 countries. No headcount.
Website
beamsummit.org
Recorded
5 sponsors · 55 speaker appearances
Notes
7th edition per organizer. In person only. Full session list from beamsummit.org/sessions/2024/. Affiliations come from beamsummit.org speaker pages, which hold one (possibly later) bio per person, so a few may be out of date for this year.

Ticket prices

TicketPriceValid untilNotesSource
In-person (free)$0—FAQ: Beam Summit is freeweb.archive.org

Sponsors 5

Platinum 1

Community 4

Speakers and talks 55

SpeakerCompanyRoleTalkLinks
Ahmed AbualsaudGoogleSpeakerBreaking the Language Barrier: Easy Cross-Language with Generated Python WrappersSlides
Alberto López Serna—SpeakerAvoid HTTP Request Duplicates with SCIO, a custom AsyncHttpParDoFn and State & TimersSlidesVideo
Alberto López Serna—SpeakerDrools ParDo and SCIO: a goodbye microservices taleSlides
Arwin TioCruiseSpeakerScaling Autonomous Driving with Apache BeamSlides
Austin BennettBamboozoologySpeakerBeam YAML and ProtobufSlidesVideo
Ayush PandeyUniversity of Colorado BoulderSpeakerRAG Data Ingestion and Enrichment Pipeline using Redis and OpenSearch Vector Database in Apache BeamSlidesVideo
Baojun LiuUberSpeakerTransitioning Uber Michelangelo's Batch Prediction from Apache Spark to RaySlidesVideo
Bipin Upadhyaya—SpeakerAccelerating CDC Data Ingestion with Apache Beam: A Qlik-to-BigQuery JourneySlides
Byron EllisGoogleSpeakerImplementing a Beam SDK: A Deep Dive into the Swift SDKSlidesVideo
Charles AdetiloyeMavenCodeSpeakerA Low Code Structured Approach to Deploying Apache Beam ML Workloads on Kubernetes using BeamStackSlides
Damon DouglasGoogleSpeakerProcessing Data from a Web API: A step by step guideSlidesVideo
Danny McCormickGoogleSpeakerHow Beam ML Optimizes Serving Large ModelsSlidesVideo
Ferran FernandezChartboostSpeakerBeam YAML and ProtobufSlidesVideo
Hai SadonTransmit SecuritySpeakerReal-Time Fraud Prevention with Apache BeamSlides
Ihaffa MurtopoGoogleSpeakerAt Least Once Streaming vs Exactly Once: Cost saving vs data accuracySlidesVideo
Iris LudenML6SpeakerMulti-Modal LLM Data Processing with Apache BeamSlidesVideo
Jack McCluskeyGoogleSpeakerUsing LLMs with Beam and RunInferenceSlides
Jasper Van den BosscheML6SpeakerRAG Data Ingestion Using Apache BeamSlidesVideo
Jasper Van den BosscheML6SpeakerMulti-Modal LLM Data Processing with Apache BeamSlidesVideo
Jeff KinardGoogleSpeakerBeam YAML: Advanced topicsSlidesVideo
Jeff KinardGoogleSpeakerIntroduction to Beam YAMLSlidesVideo
Jinjing BiLinkedInSpeakerUsage Billing with BEAM @ LinkedInSlidesVideo
John CaseyGoogleSpeakerUsing Dead Letter Queues with BeamSlidesVideo
Konstantin BuschmeierML6SpeakerRAG Data Ingestion Using Apache BeamSlidesVideo
Konstantin BuschmeierML6SpeakerMulti-Modal LLM Data Processing with Apache BeamSlidesVideo
Lakshmanan ArumugamRecursionSpeakerHow we Migrated our JSON DB to a Relational DB using Apache Beam / DataflowSlidesVideo
Lydian LeeAffirmSpeakerImproving Stability for Running Python SDK with Flink RunnerSlidesVideo
Marc HowardGoogleSpeakerProject Shield: How we use Beam to defend democracy and free expression, and how we got started!SlidesVideo
Matt MaysSolaceSpeakerThe SolaceIO connector: how was it made and whySlides
Namita SharmaGoogleSpeakerStreaming Processing for RAG ArchitecturesSlidesVideo
Narayanan Venkiteswaran—SpeakerUsage Billing with BEAM @ LinkedInSlidesVideo
Nate SalaweMavenCodeSpeakerA Low Code Structured Approach to Deploying Apache Beam ML Workloads on Kubernetes using BeamStackSlides
Olu AkinlajaDoiTSpeakerusing pub/subIO writeMessageDynamic() function in a Python pipeline to use dynamic topic destinationSlidesVideo
Olufunbi BabalolaMavenCodeSpeakerBeamStack: An open source Framework for running Machine Learning Pipelines with Apache BeamSlidesVideo
Pablo Rodriguez DefinoGoogleSpeakerStreaming Processing for RAG ArchitecturesSlidesVideo
Prakash ChockalingamGoogleSpeakerLessons Learned from MLOps for GenAI at Google ScaleSlidesVideo
Rajkumar GuptaGoogleSpeakerTroubleshooting Beam/Dataflow ML Pipelines Related Common IssuesSlidesVideo
Ravi MaghamLyftSpeakerRealtime Forecasting using BeamSlidesVideo
Reza RokniGoogleSpeakerUsing LLMs with Beam and RunInferenceSlides
Robert Burke—SpeakerA New Local Runner Appears: Deep dive on PrismSlidesVideo
Robert Burke—SpeakerBeam SDKs Don't Have to Look the SameSlidesVideo
Rohit SinhaGoogleSpeakerData Lineage in BeamSlidesVideo
Sadeeq AkintolaGoogleSpeakerReuniting the Two Distant Cousins: Calling a Beam Pipeline from an Airflow JobSlidesVideo
Sayat Satybaldiyev—SpeakerScaling Autonomous Driving with Apache BeamSlides
Sergei LilichenkoGoogleSpeakerOrdered processing in Apache BeamSlidesVideo
Sergei LilichenkoGoogleSpeakerCost Optimization of Dataflow PipelinesSlidesVideo
Sharan Teja MalyalaGoogleSpeakerCost Effective Solutions for Beam pipelines in DataflowSlidesVideo
Shunping HuangGoogleSpeakerIntroducing Ordered List StatesSlidesVideo
Surjit SinghGoogleSpeakerDataflow CI/CDSlidesVideo
Tom SteppGoogleSpeakerDataflow Streaming: The evolution of real-time data processingSlidesVideo
Uday KalraGoogleSpeakerBeam for Large-Scale, Accelerated ML Inference at GoogleSlidesVideo
Valentyn TymofieievGoogleSpeakerTroubleshooting Python pipelines with process monitoring tools.SlidesVideo
Wei HsiaGoogleWorkshopWorkshop: Multiple Input, Multiple output, Multi-Modal Inference: Streaming ML with Dataflow—
Yasmeen AhmadGoogleSpeakerInnovating the Data & AI PlatformVideo
Yi HuGoogleSpeakerThrottling Detection and Reactive Worker DownscalingSlidesVideo

Sources