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Hadoop Administration

Hadoop took over the Big data ecosystem by storm in 2012. Enterprises are now looking to leverage the big data environment require Big Data Architect who can design and build large-scale development and deployment of Hadoop applications. Market research has indicated that the market for Hadoop in big data environment will grow at a CAGR of 58% and will be worth $1 BN by 2022. Hadoop essentially has become synonymous with Big data ecosystem as it incorporates a multitude of open-source tools that enable highly scalable and distributed computing, creating a huge demand for professionals who have mastered Hadoop. IIHT’s Hadoop Administration training program provides course participants with a comprehensive understanding of all the steps required to operate and maintain Hadoop clusters using Cloudera Manager. With our Hadoop Administration training course, participants will learn concepts like cluster configurations, Hadoop security, cluster maintenance, and Daemon logs, all of which will help candidates excel in the Big Data Analytics industry.

Utilize Hadoop components within Hadoop ecosystem like Hive, HBase, Spark and Kafka

Understand Hadoop Administration activities and computational frameworks for processing Big Data

Understand the fundamentals and characteristics of Big Data and various scalability options available to help organizations manage Big Data

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Prerequisites

This course is best suited to systems administrators and IT managers who have basic Linux experience. Prior knowledge of Apache Hadoop is not necessary.

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Course Content

Introduction
The Case for Apache Hadoop

  • Why Hadoop?
  • Fundamental Concepts
  • Core Hadoop Components

Hadoop Cluster Installation

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

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

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

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

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

Planning Your Hadoop Cluster

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

Installing and Configuring Hive, Impala, and Pig

  • Hive
  • Impala
  • Pig

Hadoop Clients Including Hue

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

Advanced Cluster Configuration

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

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

Managing Resources

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

Cluster Maintenance

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

Cluster Monitoring and Troubleshooting

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