Hadoop Operations and Cluster Management Cookbook (Paperback)

Over 60 recipes showing you how to design, configure, manage, monitor, and tune a Hadoop cluster

Overview

• Hands-on recipes to configure a Hadoop cluster from bare metal hardware nodes
• Practical and in depth explanation of cluster management commands
• Easy-to-understand recipes for securing and monitoring a Hadoop cluster, and design considerations
• Recipes showing you how to tune the performance of a Hadoop cluster
• Learn how to build a Hadoop cluster in the cloud

In Detail

We are facing an avalanche of data. The unstructured data we gather can contain many insights that could hold the key to business success or failure. Harnessing the ability to analyze and process this data with Hadoop is one of the most highly sought after skills in today's job market. Hadoop, by combining the computing and storage powers of a large number of commodity machines, solves this problem in an elegant way!

Hadoop Operations and Cluster Management Cookbook is a practical and hands-on guide for designing and managing a Hadoop cluster. It will help you understand how Hadoop works and guide you through cluster management tasks.

This book explains real-world, big data problems and the features of Hadoop that enables it to handle such problems. It breaks down the mystery of a Hadoop cluster and will guide you through a number of clear, practical recipes that will help you to manage a Hadoop cluster.

We will start by installing and configuring a Hadoop cluster, while explaining hardware selection and networking considerations. We will also cover the topic of securing a Hadoop cluster with Kerberos, configuring cluster high availability and monitoring a cluster. And if you want to know how to build a Hadoop cluster on the Amazon EC2 cloud, then this is a book for you.

What you will learn from this book

• Defining your big data problem
• Designing and configuring a pseudo-distributed Hadoop cluster
• Configuring a fully distributed Hadoop cluster and tuning your Hadoop cluster for better performance
• Managing the DFS and MapReduce cluster
• Configuring Hadoop logging, auditing, and job scheduling
• Hardening the Hadoop cluster with security and access control methods
• Monitoring a Hadoop cluster with tools such as Chukwa, Ganglia, Nagio, and Ambari
• Setting up a Hadoop cluster on the Amazon cloud

Approach

Solve specific problems using individual self-contained code recipes, or work through the book to develop your capabilities. This book is packed with easy-to-follow code and commands used for illustration, which makes your learning curve easy and quick.

Who this book is written for

If you are a Hadoop cluster system administrator with Unix/Linux system management experience and you are looking to get a good grounding in how to set up and manage a Hadoop cluster, then this book is for you. It’s assumed that you will have some experience in Unix/Linux command line already, as well as being familiar with network communication basics.

超過60個食譜，向您展示如何設計、配置、管理、監控和調整Hadoop集群。

概述：
- 透過實際操作的食譜，從裸機硬體節點配置Hadoop集群
- 對集群管理命令進行實用且深入的解釋
- 易於理解的保護和監控Hadoop集群的食譜，以及設計考慮因素
- 展示如何調整Hadoop集群性能的食譜
- 學習如何在雲端建立Hadoop集群

詳細內容：
我們正面臨著大量的數據。我們收集的非結構化數據可能包含許多洞察力，這些洞察力可能是業務成功或失敗的關鍵。利用Hadoop分析和處理這些數據的能力是當今就業市場上最受追捧的技能之一。Hadoop通過結合大量廉價機器的計算和存儲能力，以優雅的方式解決了這個問題！

《Hadoop操作和集群管理食譜》是一本實用且實用的指南，用於設計和管理Hadoop集群。它將幫助您了解Hadoop的工作原理，並引導您完成集群管理任務。

本書解釋了現實世界的大數據問題以及Hadoop的功能，使其能夠處理這些問題。它揭示了Hadoop集群的神秘之處，並引導您通過一系列清晰、實用的食譜來管理Hadoop集群。

我們將從安裝和配置Hadoop集群開始，同時解釋硬件選擇和網絡考慮因素。我們還將涵蓋使用Kerberos保護Hadoop集群、配置集群高可用性和監控集群的主題。如果您想知道如何在Amazon EC2雲上構建Hadoop集群，那麼這本書就是為您而寫的。

從本書中您將學到：
- 定義您的大數據問題
- 設計和配置偽分散式Hadoop集群
- 配置完全分散式Hadoop集群，並調整Hadoop集群以獲得更好的性能
- 管理DFS和MapReduce集群
- 配置Hadoop日誌記錄、審計和作業調度
- 通過Chukwa、Ganglia、Nagio和Ambari等工具監控Hadoop集群
- 在Amazon雲上設置Hadoop集群

這本書的特點：
- 通過個別獨立的代碼食譜解決特定問題，或者通過閱讀全書來提升您的能力。本書充滿了易於遵循的代碼和命令，用於示範，使您的學習曲線變得簡單而迅速。

本書的讀者：
如果您是一位具有Unix/Linux系統管理經驗的Hadoop集群系統管理員，並且希望在如何設置和管理Hadoop集群方面打下良好基礎，那麼這本書適合您。假設您已經具有一些Unix/Linux命令行經驗，並熟悉網絡通信基礎知識。