Hadoop 2.x Administration Cookbook

Gurmukh Singh

  • 出版商: Packt Publishing
  • 出版日期: 2017-05-29
  • 售價: $1,920
  • 貴賓價: 9.5$1,824
  • 語言: 英文
  • 頁數: 348
  • 裝訂: Paperback
  • ISBN: 1787126730
  • ISBN-13: 9781787126732
  • 相關分類: Hadoop
  • 下單後立即進貨 (約3~4週)

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商品描述

Key Features

  • Become an expert Hadoop administrator and perform tasks to optimize your Hadoop Cluster
  • Import and export data into Hive and use Oozie to manage workflow.
  • Practical recipes will help you plan and secure your Hadoop cluster, and make it highly available

Book Description

Hadoop enables the distributed storage and processing of large datasets across clusters of computers. Learning how to administer Hadoop is crucial to exploit its unique features. With this book, you will be able to overcome common problems encountered in Hadoop administration.

The book begins with laying the foundation by showing you the steps needed to set up a Hadoop cluster and its various nodes. You will get a better understanding of how to maintain Hadoop cluster, especially on the HDFS layer and using YARN and MapReduce. Further on, you will explore durability and high availability of a Hadoop cluster.

You'll get a better understanding of the schedulers in Hadoop and how to configure and use them for your tasks. You will also get hands-on experience with the backup and recovery options and the performance tuning aspects of Hadoop. Finally, you will get a better understanding of troubleshooting, diagnostics, and best practices in Hadoop administration.

By the end of this book, you will have a proper understanding of working with Hadoop clusters and will also be able to secure, encrypt it, and configure auditing for your Hadoop clusters.

What you will learn

  • Set up the Hadoop architecture to run a Hadoop cluster smoothly
  • Maintain a Hadoop cluster on HDFS, YARN, and MapReduce
  • Understand high availability with Zookeeper and Journal Node
  • Configure Flume for data ingestion and Oozie to run various workflows
  • Tune the Hadoop cluster for optimal performance
  • Schedule jobs on a Hadoop cluster using the Fair and Capacity scheduler
  • Secure your cluster and troubleshoot it for various common pain points

About the Author

Gurmukh Singh is a seasoned technology professional with 14+ years of industry experience in infrastructure design, distributed systems, performance optimization, and networks. He has worked in big data domain for the last 5 years and provides consultancy and training on various technologies.

He has worked with companies such as HP, JP Morgan, and Yahoo.

He has authored Monitoring Hadoop by Packt Publishing

Table of Contents

  1. Hadoop Architecture and Deployment
  2. Maintain Hadoop Cluster - HDFS
  3. Maintain Hadoop Cluster -YARN and MapReduce
  4. High Availability
  5. Schedulers
  6. Backup and Recovery
  7. Data Ingestion and Workflow
  8. Performance Tuning
  9. Hbase and RDBMS
  10. Cluster Planning
  11. Troubleshooting, Diagnostics and Best practises
  12. Security

商品描述(中文翻譯)

主要特點


  • 成為一位專業的Hadoop管理員,並執行任務以優化您的Hadoop集群

  • 將數據導入和導出到Hive,並使用Oozie來管理工作流程

  • 實用的食譜將幫助您計劃和保護您的Hadoop集群,使其高度可用

書籍描述

Hadoop使得在計算機集群中分佈式存儲和處理大型數據集成為可能。學習如何管理Hadoop對於充分利用其獨特功能至關重要。通過本書,您將能夠解決Hadoop管理中遇到的常見問題。

本書首先介紹了建立Hadoop集群及其各個節點所需的步驟,幫助您更好地了解如何維護Hadoop集群,特別是在HDFS層和使用YARN和MapReduce方面。此外,您還將探索Hadoop集群的耐用性和高可用性。

您將更好地了解Hadoop中的調度程序以及如何配置和使用它們進行任務。您還將親身體驗Hadoop的備份和恢復選項以及性能調優方面。最後,您將更好地了解Hadoop管理中的故障排除、診斷和最佳實踐。

通過閱讀本書,您將對使用Hadoop集群工作有正確的理解,並能夠為Hadoop集群提供安全性、加密和配置審計。

您將學到什麼


  • 建立Hadoop架構以順利運行Hadoop集群

  • 在HDFS、YARN和MapReduce上維護Hadoop集群

  • 了解使用Zookeeper和Journal Node實現高可用性

  • 配置Flume進行數據輸入和Oozie運行各種工作流程

  • 調優Hadoop集群以獲得最佳性能

  • 使用公平和容量調度程序在Hadoop集群上安排任務

  • 保護您的集群並解決各種常見問題

關於作者

Gurmukh Singh是一位經驗豐富的技術專業人士,擁有14年以上的基礎設施設計、分佈式系統、性能優化和網絡方面的行業經驗。他在大數據領域工作了5年,並提供各種技術的諮詢和培訓。

他曾在惠普、JP Morgan和Yahoo等公司工作。

他還是Packt Publishing的《Monitoring Hadoop》的作者。

目錄


  1. Hadoop架構和部署

  2. 維護Hadoop集群 - HDFS

  3. 維護Hadoop集群 - YARN和MapReduce

  4. 高可用性

  5. 調度程序

  6. 備份和恢復

  7. 數據輸入和工作流程

  8. 性能調優

  9. Hbase和RDBMS

  10. 集群規劃

  11. 故障排除、診斷和最佳實踐

  12. 安全性