文件名称:
Expert.Hadoop.Administration.Managing.Tuning.and.Securing 0分下载
开发工具:
文件大小: 16mb
下载次数: 0
上传时间: 2016-12-27
详细说明： In Expert Hadoop® Administration, leading Hadoop administrator Sam R. Alapati brings together authoritative knowledge for creating, configuring, securing, managing, and optimizing production Hadoop clusters in any environment. Drawing on his experience with larg e-scale Hadoop administration, Alapati integrates action-oriented advice with carefully researched explanations of both problems and solutions. He covers an unmatched range of topics and offers an unparalleled collection of realistic examples. Alapati demystifies complex Hadoop environments, helping you understand exactly what happens behind the scenes when you administer your cluster. You’ll gain unprecedented insight as you walk through building clusters from scratch and configuring high availability, performance, security, encryption, and other key attributes. The high-value administration skills you learn here will be indispensable no matter what Hadoop distribution you use or what Hadoop applications you run. Understand Hadoop’s architecture from an administrator’s standpoint Create simple and fully distributed clusters Run MapReduce and Spark applications in a Hadoop cluster Manage and protect Hadoop data and high availability Work with HDFS commands, file permissions, and storage management Move data, and use YARN to allocate resources and schedule jobs Manage job workflows with Oozie and Hue Secure, monitor, log, and optimize Hadoop Benchmark and troubleshoot Hadoop Table of Contents Part I: Introduction to Hadoop—Architecture and Hadoop Clusters Chapter 1 Introduction to Hadoop and Its Environment Chapter 2 An Introduction to the Architecture of Hadoop Chapter 3 Creating and Configuring a Simple Hadoop Cluster Chapter 4 Planning for and Creating a Fully Distributed Cluster Part II: Hadoop Application Frameworks Chapter 5 Running Applications in a Cluster—The MapReduce Framework (and Hive and Pig) Chapter 6 Running Applications in a Cluster—The Spark Framework Chapter 7 Running Spark Applications Part III: Managing and Protecting Hadoop Data and High Availability Chapter 8 The Role of the NameNode and How HDFS Works Chapter 9 HDFS Commands, HDFS Permissions and HDFS Storage Chapter 10 Data Protection, File Formats and Accessing HDFS Chapter 11 NameNode Operations, High Availability and Federation Part IV: Moving Data, Allocating Resources, Scheduling Jobs and Security Chapter 12 Moving Data Into and Out of Hadoop Chapter 13 Resource Allocation in a Hadoop Cluster Chapter 14 Working with Oozie to Manage Job Workflows Chapter 15 Securing Hadoop Part V: Monitoring, Optimization and Troubleshooting Chapter 16 Managing Jobs, Using Hue and Performing Routine Tasks Chapter 17 Monitoring, Metrics and Hadoop Logging Chapter 18 Tuning the Cluster Resources, Optimizing MapReduce Jobs and Benchmarking Chapter 19 Configuring and Tuning Apache Spark on YARN Chapter 20 Optimizing Spark Applications Chapter 21 Troubleshooting Hadoop—A Sampler Chapter 22 Installing VirtualBox and Linux and Cloning the Virtual Machines ...展开收缩
(系统自动生成,下载前可以参看下载内容)
下载文件列表
相关说明
- 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
- 本站是交换下载平台，提供交流渠道，下载内容来自于网络，除下载问题外，其它问题请自行百度。
- 本站已设置防盗链，请勿用迅雷、QQ旋风等多线程下载软件下载资源，下载后用WinRAR最新版进行解压.
- 如果您发现内容无法下载，请稍后再次尝试；或者到消费记录里找到下载记录反馈给我们.
- 下载后发现下载的内容跟说明不相乎，请到消费记录里找到下载记录反馈给我们，经确认后退回积分.
- 如下载前有疑问，可以通过点击"提供者"的名字，查看对方的联系方式，联系对方咨询.
