docs/_meetups/may-2017.md

---
date: May 2017
display_date: May 2017
meetups:
    - name: 'Streaming Data Pipelines with Brooklin'
      host: LinkedIn
      image: 
      presenters:
        - name: Samarth Shetty
          website: 
          image:
          affiliation: LinkedIn
      video:
          url: https://youtu.be/VUF1oazVEuU
          image: https://img.youtube.com/vi/VUF1oazVEuU/0.jpg
      abstract: Brooklin is a system at LinkedIn to create data pipelines connecting streaming data sources (i.e. Kafka, EventHubs, Change-Capture streams) with nearline applications. The talk explains about Brooklin, the problems it addresses, its design, usage and future directions.
    - name: 'Managed or stand alone, streaming or batch; Unified processing with the Samza Fluent API'
      host: LinkedIn
      image: 
      presenters:
        - name: Yi Pan
          website: 
          image:
          affiliation: LinkedIn
      video:
          url: https://www.youtube.com/watch?v=yAJRsdc6rdQ&list=PLZDyxA22zzGx34wdHESUux2_V1qfkQ8zx&index=14&t=0s
          image: https://img.youtube.com/vi/yAJRsdc6rdQ/0.jpg
      abstract: Samza 0.13 improves the simplicity and portability of Samza applications. The new fluent API supports common operations like windowing, map and join on streams. This talk also covers Samza Standalone, which empowers developers to deploy and scale Samza applications as a simple embedded library.
    - name: What it takes to process a trillion events a day? Case studies in scaling stream processing at LinkedIn
      host: ApacheCon Big Data 2017
      image: 
      presenters:
        - name: Jagadish Venkatraman
          website: 
          image:
          affiliation: Linkedin
      abstract: Deep dive into hard problems in stream processing and case studies of LinkedIn's communication platform and News feed platform leveraging Samza
      slides:
           url: https://cwiki.apache.org/confluence/download/attachments/51812876/ApacheCon-Talk-Jagadish-1.pdf?version=1&modificationDate=1496363193000&api=v2
---
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