Dataproc Cookbook: Running Spark and Hadoop Workloads in Google Cloud - Brossura

Sadineni, Narasimha; Venkataraman, Anuyogam

 
9781098157708: Dataproc Cookbook: Running Spark and Hadoop Workloads in Google Cloud
Brossura
ISBN 10: 1098157702 ISBN 13: 9781098157708
Casa editrice: Oreilly & Associates Inc, 2025

Sinossi

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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
Oreilly & Associates Inc
Data di pubblicazione
2025
Lingua
Inglese
ISBN 10 
1098157702
ISBN 13 
9781098157708
Rilegatura
Copertina flessibile
Numero di pagine
436
Contatto del produttore
O'Reilly
https://oreilly.com

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Persona responsabile
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