Название: Dataproc Cookbook: Running Spark and Hadoop Workloads in Google CloudАвтор: Narasimha Sadineni, Anuyogam Venkataraman
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 500
Язык: английский
Формат: epub
Размер: 19.1 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. Technologies like Apache Hadoop (MapReduce, HDFS, Hive) allowed us to tackle data problems at a scale previously unimaginable, and to do so within practical time frames. Spark, with its in-memory processing capabilities, pushed the boundaries even further, enabling large-scale data operations in mere seconds. This is a handy cookbook on Dataproc that will help you accelerate your Hadoop migration and Dataproc learning journey and optimize your workloads.
