Building Portable Data Processing Workloads on GKE (Cloud Next ’18)

This session will discuss rearchitecting data processing workflows from on-premises to cloud-native environments using portable and consistent application operators with GCP data services. We will showcase application operators for Spark and Airflow that can be deployed on Kubernetes in any environment. We will also show how users can architect cloud-native data pipelines in a portable manner on GCP using GCS, BigQuery, and GKE.

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Duration: 38:21
Publisher: Google Cloud
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