Kafka Summit 2016

Systems Track

  • Fundamentals of Stream Processing with Apache Beam

    Frances Perry & Tyler Akidau, Google

  • Advanced Streaming Analytics with Apache Flink and Apache Kafka

    Stephan Ewen, Data Artisans

  • Introducing Kafka Streams: Large-scale Stream Processing with Kafka

    Neha Narkhede, Confluent

  • Kafka Connect: Real-time Data Integration at Scale with Apache Kafka

    Ewen Cheslack-Postava, Confluent

  • Conquering All Your Stream Processing Needs with Kafka and Spark

    Tathagata Das, Databricks

  • Simplifying Event Streaming: Tools for Location Transparency and Data Evolution

    Paul Osman, Under Armour

  • Streaming SQL

    Julian Hyde, Hortonworks

  • Generating Real-time Recommendations with NiFi, Kafka, and Spark

    Chris Fregly, IBM

Operations Track

Users Track

  • Stream Processing with Kafka in Uber

    Danny Yuan, Uber

  • Siphon - Near Real Time Databus Using Kafka

    Nitin Kumar & Eric Boyd, Microsoft

  • The Enterprise Service Bus is Dead! Long live the Enterprise Service Bus

    Rimas Silkaitis, Heroku

  • Espresso Database Replication with Kafka

    Tom Quiggle, LinkedIn

  • Leveraging Kafka for Big Data in Real Time Bidding, Analytics, Machine Learning and Campaign Management for Globally Distributed Data Flows

    Helena Edelson, Tuplejump

  • Towards A Stream Centered Enterprise

    Gabriel Commeau, Comcast

  • Kafka, the "DialTone for Data": Building a self-service, scalable, streaming analytics system @ HomeAway

    Rene Parra, HomeAway

  • Kafka, Killer of Point-to-Point Integrations

    Lucian Lita, Intuit

  • Ingesting Complex Healthcare Data with Apache Kafka

    Micah Whitacre, Cerner

  • Kafka and Stream Processing, Taking Analytics Real-time

    Mike Spicer, IBM

  • Never at Rest - IoT and Data Streaming at British Gas Connected Homes

    Paul Makkar, Connected Homes

  • Real-Time Analytics Visualized w/ Kafka + Streamliner + MemSQL + ZoomData

    Anton Gorshkov, Goldman Sachs

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