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Dataproc Cookbook

Dataproc Cookbook

Running Spark and Hadoop Workloads in Google Cloud

Paperback

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  • Release Date: 17/06/2025
  • Barcode: 9781098157708
  • Genre: Computing & The Internet
  • Sub-Genre: Data Management
  • Imprint: O'Reilly Media
  • Publisher: O'Reilly Media
Dataproc Cookbook

Dataproc Cookbook

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DESCRIPTION

Running Spark and Hadoop Workloads in Google Cloud
Dataproc Cookbook is your hands-on guide to mastering Dataproc and the essential GCP fundamentals-like networking, security, monitoring, and cost optimization--that apply across Google Cloud services. Learn practical skills that not only fast-track your Dataproc expertise, but also help you succeed with a wide range of GCP technologies.

Want to build big data solutions in Google Cloud? Dataproc Cookbook is your hands-on guide to mastering Dataproc and the essential GCP fundamentals-like networking, security, monitoring, and cost optimization--that apply across Google Cloud services. Learn practical skills that not only fast-track your Dataproc expertise, but also help you succeed with a wide range of GCP technologies.

Written by data experts Narasimha Sadineni and Anu Venkataraman, this cookbook tackles real-world use cases like serverless Spark jobs, Kubernetes-native deployments, and cost-optimized data lake workflows. You'll learn how to create ephemeral and persistent Dataproc clusters, run secure data science workloads, implement monitoring solutions, and plan effective migration and optimization strategies.

  • Create Dataproc clusters on Compute Engine and Kubernetes Engine
  • Run data science workloads on Dataproc
  • Execute Spark jobs on Dataproc Serverless
  • Optimize Dataproc clusters to be cost effective and performant
  • Monitor Spark jobs in various ways
  • Orchestrate various workloads and activities
  • Use different methods for migrating data and workloads from existing Hadoop clusters to Dataproc


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