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Dataproc Cookbook Running Spark and Hadoop Workloads in Google Cloud [#1011904]
Dataproc Cookbook: Running Spark and Hadoop Workloads in Google Cloud by Narasimha Sadineni, Anuyogam Venkataraman
English | July 8th, 2025 | ISBN: 1098157702 | 438 pages | True PDF | 44.01 MB
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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