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Alluxio on gcp
GETTING STARTED
Tutorials and guides to successfully deploy Alluxio on Google Cloud Platform
featured topic: alluxio on google dataproc
Getting Started tutorial
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Get up and running with Google Dataproc and Alluxio with our hybrid cloud tutorial and on-demand tech talk.
on-demand tech talk:
Build a hybrid data lake and burst processing to Google Cloud Dataproc with Alluxio
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Set up hybrid environment between your private datacenter and GCP, burst to Dataproc while accessing on-prem data, and more.
alluxio on gcp tutorials
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Getting started with Alluxio on gCS
Alluxio supports access to different storage systems through its unified namespace. Configure GCS as Alluxio’s under storage system in four steps.
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Whitepaper: zero-copy hybrid bursting with no app changes
This whitepaper details how to leverage GCP to scale analytics workloads directly on on-prem data without copying and synchronizing the data into the cloud.
Boost AI Workload Performance with Intel® on GCP
For AI on the same CPU-based hardware as your existing workloads, Alluxio recommends Intel® Xeon® Scalable processors with Intel® Deep Learning Boost (Intel® DL Boost).
To learn more about Intel® Xeon® powered instances, visit the Google Cloud and Intel partner page. We recommend M2 (Memory-optimized) machine type powered by 2nd generation Intel Xeon Scalable Processors (Cascade Lake).
alluxio + gcp for hybrid workloads at walmart labs
Alluxio coupled with Google Cloud Platform enabled zero-copy burst for Walmart Labs for faster query performance in the cloud.
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With Alluxio, Walmart Labs is able to query datasets that before couldn’t get to public clouds like GCP and improve query performance overall.