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Catalog

 

Want to learn more about the event?

Explore the AWS re:Invent catalog to discover a wide variety of session types, activities, and more. Or visit our Content Types and Policies page to learn more about how to navigate our catalog and event. New content is added regularly, and all content is subject to change.

Registration
2 sessions
  • Breakout session
    Analytics
    Kubernetes
    Cross-Industry Solutions
    Open Source
    400 – Expert
    Data Engineer
    Data Scientist
    DevOps Engineer
    MGM Grand
    Amazon Elastic Kubernetes Service (Amazon EKS)
    Tuesday, Dec 03
    11:00 a.m. Tuesday, Dec 03
    As running analytics workloads on Amazon EKS continues to rise, data engineers need self-service tools to create infrastructure for running analytics jobs. This session offers practical insights into how leading organizations are modernizing their data platforms, transitioning from traditional infrastructure as code pipelines to infrastructure as Kubernetes APIs. Using open source technologies like AWS Controllers for Kubernetes (ACK), data platform teams can help data engineers create on-demand namespaces and clusters fully equipped to run analytics jobs, thereby streamlining their workflow.

    , R&D Group Leader, Data Platform, AppsFlyer

    , Director: Specialist Technology Team, AWS

    , Senior Specialist Solutions Architect, AWS

    • Tuesday, Dec 311:30 AM - 12:30 PM PST
      MGM Grand | Level 3 | Chairmans 355
  • Breakout session
    Analytics
    Kubernetes
    Cross-Industry Solutions
    Open Source
    400 – Expert
    Data Engineer
    Data Scientist
    DevOps Engineer
    Mandalay Bay
    Walk-up only: No reserved seating required
    Amazon Elastic Kubernetes Service (Amazon EKS)
    Tuesday, Dec 03
    11:00 a.m. Tuesday, Dec 03
    As running analytics workloads on Amazon EKS continues to rise, data engineers need self-service tools to create infrastructure for running analytics jobs. This session offers practical insights into how leading organizations are modernizing their data platforms, transitioning from traditional infrastructure as code pipelines to infrastructure as Kubernetes APIs. Using open source technologies like AWS Controllers for Kubernetes (ACK), data platform teams can help data engineers create on-demand namespaces and clusters fully equipped to run analytics jobs, thereby streamlining their workflow.

    , R&D Group Leader, Data Platform, AppsFlyer

    , Director: Specialist Technology Team, AWS

    , Senior Specialist Solutions Architect, AWS

    Walk up only session: Walk-up only: No reserved seating required
    • Tuesday, Dec 311:30 AM - 12:30 PM PST
      Mandalay Bay | Level 2 South | Mandalay Bay Ballroom L | Content Hub | Red Screen