Dataproc Persistent History Server: Up and Running
Offered By: Google Cloud Tech via YouTube
Course Description
Overview
Learn about Dataproc Persistent History Server (PHS) in this 11-minute video from Google Cloud Tech. Discover how PHS solves the challenge of losing application logs in ephemeral clusters and Dataproc Serverless for Spark. Explore its ability to provide access to completed Hadoop and Spark application details for jobs executed on different ephemeral clusters or serverless Spark. Understand how PHS can list running and completed applications, making it crucial for troubleshooting and exploration. Gain insights into best practices and code snippets for implementing PHS in your data processing workflows. Access additional resources on Dataproc Persistent History Server documentation and learn how to run faster and more cost-effective Dataproc jobs.
Syllabus
Dataproc Persistent History Server: Up & Running
Taught by
Google Cloud Tech
Related Courses
Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform auf DeutschGoogle Cloud via Coursera Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
Google Cloud via Coursera Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro
Google Cloud via Coursera Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform en Español
Google Cloud via Coursera Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform 日本語版
Google Cloud via Coursera