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A01=Aunyogam Venkataraman
A01=Narasimha Sadineni
Author_Aunyogam Venkataraman
Author_Narasimha Sadineni
Category=UNA
Category=UTC
Data Science
Dataproc
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Google Cloud Platform
Hive
Performance Tuning
Serverless
Spark

Product details

  • ISBN 9781098157708
  • Dimensions: 178 x 232mm
  • Publication Date: 17 Jun 2025
  • Publisher: O'Reilly Media
  • Publication City/Country: US
  • Product Form: Paperback
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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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