Dataproc Cookbook, 9781098157708
Paperback
Master Dataproc: Build big data solutions in Google Cloud.
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Dataproc Cookbook

running spark and hadoop workloads in google cloud

$152.91

  • Paperback

    300 pages

  • Release Date

    20 June 2025

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Summary

Dataproc Cookbook: Recipes for Big Data Solutions on Google Cloud

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 N…

Book Details

ISBN-13:9781098157708
ISBN-10:1098157702
Author:Narasimha Sadineni, Aunyogam Venkataraman
Publisher:O'Reilly Media
Imprint:O'Reilly Media
Format:Paperback
Number of Pages:300
Release Date:20 June 2025
Weight:746g
Dimensions:232mm x 178mm
About The Author

Narasimha Sadineni

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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