Cloudera Administrator Training for Apache Hadoop Eğitimi

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Eğitim Tipi ve Süresi

3 Days ILT     4.0 Days ILT    
Eğitim Sağlayıcı ve Kategori

Cloudera  » Apache Hadoop Eğitimler
Big Data  » Big Data Eğitimler

Cloudera Administrator Training for Apache Hadoop

Learn to deploy, configure, and manage Cloudera's Apache Hadoop implementation and the Hadoop Distributed File System (HDFS).

In this course, you will learn all the steps necessary to operate and manage Hadoop clusters. From installation and configuration, through load balancing and tuning your cluster, this course has you covered.

 

What You'll Learn

  • Internals of YARN, MapReduce, and HDFS
  • Determining the correct hardware and infrastructure for your cluster
  • Cluster configuration and deployment to integrate with the data center
  • Load data into the cluster from dynamically generated files using Flume and from RDBMS using Sqoop
  • Configure the FairScheduler to provide service-level agreements for multiple users of a cluster
  • Best practices for preparing and maintaining Apache Hadoop in production
  • Troubleshooting, diagnosing, tuning, and solving Hadoop issues

 

Who Needs to Attend

System administrators and IT managers who have basic Linux experience

Prerequisites

  • Basic Linux systems administration experience

Note: No prior knowledge of Apache Hadoop is not required.

Follow-On Courses

There are no follow-ons for this course.

Certification Programs and Certificate Tracks

This course is part of the following programs or tracks:

  • CCAH: Cloudera Certified Administrator for Apache Hadoop (CDH4)

 

Course Outline

1. Introduction

2. The Case for Apache Hadoop

  • Why Hadoop?
  • Fundamental Concepts
  • Core Hadoop Components

3. Hadoop Cluster Installation

  • Rationale for a Cluster Management Solution
  • Cloudera Manager Features
  • Cloudera Manager Installation
  • Hadoop (CDH) Installation

4. The Hadoop Distributed File System (HDFS)

  • HDFS Features
  • Writing and Reading Files
  • NameNode Memory Considerations
  • Overview of HDFS Security
  • Web UIs for HDFS
  • Using the Hadoop File Shell

5. MapReduce and Spark on YARN

  • The Role of Computational Frameworks
  • YARN: The Cluster Resource Manager
  • MapReduce Concepts
  • Apache Spark Concepts
  • Running Computational Frameworks on YARN
  • Exploring YARN Applications Through the Web UIs, and the Shell
  • YARN Application Logs

6. Hadoop Configuration and Daemon Logs

  • Cloudera Manager Constructs for Managing Configurations
  • Locating Configurations and Applying Configuration Changes
  • Managing Role Instances and Adding Services
  • Configuring the HDFS Service
  • Configuring Hadoop Daemon Logs
  • Configuring the YARN Service

7. Getting Data Into HDFS

  • Ingesting Data From External Sources with Flume
  • Ingesting Data From Relational Databases with Sqoop
  • REST Interfaces
  • Best Practices for Importing Data

8. Planning Your Hadoop Cluster

  • General Planning Considerations
  • Choosing the Right Hardware
  • Virtualization Options
  • Network Considerations
  • Configuring Nodes

9. Installing and Configuring Hive, Impala, and Pig

  • Hive
  • Impala
  • Pig

10. Hadoop Clients Including Hue

  • What Are Hadoop Clients?
  • Installing and Configuring Hadoop Clients
  • Installing and Configuring Hue
  • Hue Authentication and Authorization

11. Advanced Cluster Configuration

  • Advanced Configuration Parameters
  • Configuring Hadoop Ports
  • Configuring HDFS for Rack Awareness
  • Configuring HDFS High Availability

12. Hadoop Security

  • Why Hadoop Security Is Important
  • Hadoop's Security System Concepts
  • What Kerberos Is and How It Works
  • Securing a Hadoop Cluster with Kerberos
  • Other Security Concepts

13. Managing Resources

  • Configuring cgroups with Static Service Pools
  • The Fair Scheduler
  • Configuring Dynamic Resource Pools
  • YARN Memory and CPU Settings
  • Impala Query Scheduling

14. Cluster Maintenance

  • Checking HDFS Status
  • Copying Data Between Clusters
  • Adding and Removing Cluster Nodes
  • Rebalancing the Cluster
  • Directory Snapshots
  • Cluster Upgrading

15. Cluster Monitoring and Troubleshooting

  • Cloudera Manager Monitoring Features
  • Monitoring Hadoop Clusters
  • Troubleshooting Hadoop Clusters
  • Common Misconfigurations

 

Labs

Throughout the course, you'll participate in hands-on labs to help build your knowledge and apply the concepts discussed.

 



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