{"product_id":"dataproc-cookbook-running-spark-and-hadoop-workloads-in-google-cloud-paperback","title":"Dataproc Cookbook: Running Spark and Hadoop Workloads in Google Cloud - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eNarasimha Sadineni\u003c\/b\u003e (Author), \u003cb\u003eAnuyogam Venkataraman\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWant 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. \u003c\/p\u003e\u003cp\u003eWritten 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. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eCreate Dataproc clusters on Compute Engine and Kubernetes Engine \u003c\/li\u003e\n\u003cli\u003eRun data science workloads on Dataproc \u003c\/li\u003e\n\u003cli\u003eExecute Spark jobs on Dataproc Serverless \u003c\/li\u003e\n\u003cli\u003eOptimize Dataproc clusters to be cost effective and performant \u003c\/li\u003e\n\u003cli\u003eMonitor Spark jobs in various ways \u003c\/li\u003e\n\u003cli\u003eOrchestrate various workloads and activities \u003c\/li\u003e\n\u003cli\u003eUse different methods for migrating data and workloads from existing Hadoop clusters to Dataproc \u003c\/li\u003e\n\u003c\/ul\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 436\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.89 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 08, 2025\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43154294865983,"sku":"9781098157708","price":103.66,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/JjC3yK0qqY9781098157708.webp?v=1776955524","url":"https:\/\/dhlswag.com\/products\/dataproc-cookbook-running-spark-and-hadoop-workloads-in-google-cloud-paperback","provider":"BBB","version":"1.0","type":"link"}