Hadoop Administration Training Course Online Course

Hadoop Administration Training Course

All levels
English

Course Description

Hadoop Administration Professional training equips you with the knowledge and skills to plan, install, configure, manage, secure, monitor, and troubleshoot Hadoop Eco System components and cluster. The Hadoop Admin course is a perfect blend of interactive lectures, hands-on practice, and job-oriented curriculum. This Big Data Hadoop training course gives you a comprehensive understanding on the successful implementation of real-life Hadoop for industry projects. Hadoop Professional training course provides a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster using Cloudera Manager. From installation and configuration through load balancing and tuning, BIT’s Hadoop Administrator training course is the best preparation for the real-world challenges faced by Hadoop administrators. This course is best suited to systems administrators and IT managers who have basic Linux experience. Prior knowledge of Apache Hadoop is not required.

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What you’ll learn

Live Class Practical Oriented Training
Timely Doubt Resolution
Dedicated Student Success Mentor
Certification & Job Assistance
Free Access to Workshop & Webinar
No Cost EMI Option
Describe the fundamentals and components of Hadoop
Provide an overview of Hadoop Ecosystem covering different tools for integration, analysis, data storage and retrieval
Plan, install, and configure Hadoop. Practice Hadoop security system and configure Kerberos Security
Install and manage other Hadoop clusters including Pig, Hive, HBase, Sqoop, HDFS
Elucidate the features, architecture, security considerations of Hadoop Distributed File System (HDFS)
Understand the features, concepts, architecture of MapReduce
Manage and schedule jobs to be executed in Hadoop system.
Utilize best practices for deploying, managing, and monitoring Hadoop clusters

Covering Topics

Introduction to Big Data and Hadoop

Hadoop Cluster and its Architecture

Hadoop Cluster Setup & Computational Frameworks,

Hadoop Cluster Administration and Maintenance

Backup, Recovery, And Maintenance

Hadoop 2.x Cluster: Planning and Management

Hadoop Security and Cluster Monitoring

Cloudera Hadoop 2.x and its Features

Cloudera Manager And Cluster Setup

Pig, Hive Installation and Working

HBase, Zookeeper Installation and Working

Oozie

Data Ingestion using Sqoop and Flume

Curriculum

  Live Lecture 
·       Introduction to big data

·       Common big data domain scenarios

·       Limitations of traditional solutions

·       Hadoop Architecture

·       Hadoop 1.0 ecosystem and its Core Components

·       Hadoop 2.x ecosystem and its Core Components

·       Application submission in YARN

·       Hadoop Components and Ecosystem

·       Data loading & Reading from HDFS

·       Replication Rules

·       Rack Awareness theory

·       Practical Exercise

  ·       Initial configuration required before installing Hadoop

·       Deploying Hadoop in a pseudo-distributed mode

·       Working of HDFS and its internals

·       Hadoop Server roles and their usage

·       Hadoop Installation and Initial configuration

·       Different Modes of Hadoop Cluster.

·       Deploying Hadoop in a Pseudo-distributed mode

·       Deploying a Multi-node Hadoop cluster

·       Installing Hadoop Clients

·       Understanding the working of HDFS and resolving simulated problems.

·       Hadoop 1 and its Core Components.

·       Hadoop 2 and its Core Components.

·       Replication rules

·       Hadoop Cluster Modes

·       NTP server

·       Practical Exercise

  Live Lecture 
·       OS Tuning for Hadoop Performance

·       Pre-requisite for installing Hadoop

·       Hadoop Configuration Files

·       Working with Hadoop distributed cluster

·       Stale Configuration

·       RPC and HTTP Server Properties

·       Properties of Namenode, Datanode and Secondary Namenode

·       Log Files in Hadoop

·       Deploying a multi-node Hadoop cluster

·       Decommissioning or commissioning of nodes

·       Different Processing Frameworks

·       Understanding MapReduce

·       Spark and its Features

·       Application Workflow in YARN

·       YARN Metrics

·       YARN Capacity Scheduler and Fair Scheduler

·       Understanding Schedulers and enabling them.

·       Service Level Authorization (SLA)

·       Practical Exercise

  Live Lecture 
·       Commissioning and Decommissioning of Node

·       HDFS Balancer

·       Namenode Federation in Hadoop

·       High Availability in Hadoop

·       .Trash Functionality

·       Checkpointing in Hadoop

·       Distcp

·       Disk balancer

·       Practical Exercise

  Live Lecture 
·       Key Admin commands like DFSADMIN

·       Safe mode

·       Importing Check Point

·       MetaSave command

·       Data backup and recovery

·       Backup vs Disaster recovery

·       Namespace count quota or space quota

·       Manual failover or metadata recovery.

·       Practical Exercise

  Live Lecture 
·       Planning a Hadoop 2.x cluster

·       Cluster sizing

·       Hardware, Network and Software considerations

·       Popular Hadoop distributions

·       Workload and usage patterns

·       Industry recommendations

·       Practical Exercise

  Live Lecture 
·       Monitoring Hadoop Clusters

·       Hadoop Security System Concepts

·       Securing a Hadoop Cluster With Kerberos

·       Common Misconfigurations

·       Overview on Kerberos

·       Checking log files to understand Hadoop clusters for troubleshooting

·       Practical Exercise

  ·       Visualize Cloudera Manager

·       Features of Cloudera Manager

·       Build Cloudera Hadoop cluster using CDH

·       Installation choices in Cloudera

·       Cloudera Manager Vocabulary

·       Cloudera terminologies

·       Different tabs in Cloudera Manager

·       What is HUE?

·       Hue Architecture

·       Hue Interface

·       Hue Features

·       Practical Exercise

  ·       Cloudera Manager and cluster setup

·       Hive administration

·       HBase architecture

·       HBase setup

·       Hadoop/Hive/Hbase performance optimization.

·       Pig setup and working with a grunt.

·       Practical Exercise

  Live Lecture 
·       Explain Hive

·       Hive Setup

·       Hive Configuration

·       Working with Hive

·       Setting Hive in local and remote metastore mode

·       Pig setup

·       Working with Pig

·       Practical Exercise

  Live Lecture 
·       What is NoSQL Database

·       HBase data model

·       HBase Architecture

·       MemStore, WAL, BlockCache

·       HBase Hfile

·       Compactions

·       HBase Read and Write

·       HBase balancer and hbck

·       HBase setup

·       Working with HBase

·       Installing Zookeeper

·       Practical Exercise

  ·       Oozie overview

·       Oozie Features

·       Oozie workflow, coordinator and bundle

·       Start, End and Error Node

·       Action Node

·       Join and Fork

·       Decision Node

·       Oozie CLI

·       Install Oozie

·       Practical Exercise

  Live Lecture 
·       Types of Data Ingestion

·       HDFS data loading commands

·       Purpose and features of Sqoop

·       Perform operations like, Sqoop Import, Export and Hive Import

·       Sqoop 2

·       Install Sqoop

·       Import data from RDBMS into HDFS

·       Flume features and architecture

·       Types of flow

·       Install Flume

·       Ingest Data From External Sources With Flume

·       Best Practices for Importing Data

·       Practical Exercise

Frequently Asked Questions

No prerequisites are required for taking up this training. Though, having a basic knowledge of Linux can help.

The course offers a variety of online training options, including: • Live Virtual Classroom Training: Participate in real-time interactive sessions with instructors and peers. • 1:1 Doubt Resolution Sessions: Get personalized assistance and clarification on course-related queries. • Recorded Live Lectures*: Access recorded sessions for review or to catch up on missed classes. • Flexible Schedule: Enjoy the flexibility to learn at your own pace and according to your schedule.

Live Virtual Classroom Training allows you to attend instructor-led sessions in real-time through an online platform. You can interact with the instructor, ask questions, participate in discussions, and collaborate with fellow learners, simulating the experience of a traditional classroom setting from the comfort of your own space.

If you miss a live session, you can access recorded lectures* to review the content covered during the session. This allows you to catch up on any missed material at your own pace and ensures that you don't fall behind in your learning journey.

The course offers a flexible schedule, allowing you to learn at times that suit you best. Whether you have other commitments or prefer to study during specific hours, the course structure accommodates your needs, enabling you to balance your learning with other responsibilities effectively. *Note: Availability of recorded live lectures may vary depending on the course and training provider.