---
date: September 2017
display_date: September 2017
meetups:
    - name: 'Samza at Redfin: Using Streaming to Help Home Buyers and Sellers'
      host: LinkedIn
      image: 
      presenters:
        - name: Brian Hanks 
          website: 
          image:
          affiliation: Redfin
      video:
          url: https://www.youtube.com/watch?v=cfy0xjJJf7Y&list=PLZDyxA22zzGx34wdHESUux2_V1qfkQ8zx&index=11&t=0s
          image: https://img.youtube.com/vi/cfy0xjJJf7Y/0.jpg
      slides:
          url: https://www.slideshare.net/SamarthShetty2/stream-processing-using-samza-sql
      abstract: Redfin sends millions of notifications per day to our customers to help them buy and sell homes. This talk explains how Redfin developed a streaming system based on Samza to provide a low latency, resilient, horizontally scalable, high throughput system to send notifications to there customers
    - name: Real-time Indexing of LinkedIn’s Economic Graph
      host: LinkedIn
      image: 
      presenters:
        - name: Almog Gavra
          website: 
          image:
          affiliation: LinkedIn
      video:
          url: https://www.youtube.com/watch?v=J8ONfE5o_oQ&list=PLZDyxA22zzGx34wdHESUux2_V1qfkQ8zx&index=10&t=0s
          image: https://img.youtube.com/vi/J8ONfE5o_oQ/0.jpg
      abstract: In this talk Almog covers the basics of LinkedIn’s Search Engine indexing pipeline, focusing on how they leveraged Kafka and Samza to ingest over 10K events per second of real time updates. 
    - name: 'Unified Batch & Stream Processing with Apache Samza'
      host: Dataworks Summit Sydney 2017
      image: 
      presenters:
        - name: Navina Ramesh
          website: 
          image:
          affiliation: Linkedin
      abstract: In this talk Navina shares insights on Convergence of batch data pipelines at Linkedin with Apache Samza, Samza unified data processing api and flexible deployment model
      slides:
          url: https://www.slideshare.net/Hadoop_Summit/unified-batch-stream-processing-with-apache-samza

---
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