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

Sadineni, Narasimha; Venkataraman, Anuyogam

 
9781098157708: Dataproc Cookbook: Running Spark and Hadoop Workloads in Google Cloud
Tapa blanda
ISBN 10: 1098157702 ISBN 13: 9781098157708
Editorial: O'Reilly Media, 2025

Sinopsis

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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Acerca de los autores

Narasimha Sadineni is a data engineer at Google who has 12 years of experience in Data & Analytics. While working as a professional services team member at Google and Cloudera, he helped 50+ organizations in solving BigData problems using tools like Hadoop and Google Cloud technologies. He has several years of teaching experience in Hadoop.

Anu Venkataraman is a Senior Program Manager. She previously served as a Data Lake Engineer at Google, accumulating extensive experience in data technologies. Anu assists customers in migrating large-scale distributed systems to the cloud. She finds joy in speaking at universities and contributing technical blogs and videos to the Data community, aiming to expedite customers' journeys to the cloud. Anu played a key role as one of the leads for the Professional Services Tech Talk playlist on the Google Cloud Tech YouTube channel. She holds a Master's degree in Electrical and Computer Engineering from Ryerson University, specializing in Medical Image Processing and Machine Learning.

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Editorial
O'Reilly Media
Año de publicación
2025
Idioma
Inglés
ISBN 10 
1098157702
ISBN 13 
9781098157708
Encuadernación
Tapa blanda
Número de páginas
436
Contacto del fabricante
O'Reilly
https://oreilly.com

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