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Hadoop Administrator at Prwatech Institute

₹ 13,500   ( ₹ 18,000  | 25% Off)
No 14, 29th Main Road, 2nd Cross,1st Stage, Axa Building, ,
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PrwaTech invites you to enroll in our Hadoop Admin Training and become a first rate Hadoop Administrator. This training Course is designed by professionals to provide practical skills and knowledge to become a successful Hadoop Administrator. Learn from experts, get all your queries answered and enjoy 24/7 support and get unlimited access to tutorials.
About The Training:
The Hadoop Admin training course is designed to offer knowledge and skills which will make you a successful Hadoop Architect. Our training program starts with elementary concepts of Hadoop Cluster and Apache Hadoop. The training program covers topics to configure, manage, deploy, secure and monitor a Hadoop Cluster. Training program includes various challenging and practical exercises for trainees.
Training Highlights:

Role Specific Training
Hands-on Exercises
Introduction to BIG DATA and HADOOP
Resume preparation, Interview question answers are also provided.
Covers all significant Hadoop system products

Benefits of Hadoop Admin training:

Unlimited access to Training material
Assignments for every training session
Excellent Course Material and E-books
Excellent Lab Material
24/7 contact with trainers for doubt clarification
Certificate of Completion at completion

Who should go for this training?
Systems administrators, linux administrators, windows administrators, Infrastructure engineers, Big Data Architects, DB Administrators, IT managers and Mainframe Professionals.
Pre-requisites for this training.
This course requires no prior knowledge of Java, Hadoop Cluster Administration or Apache Hadoop. Fundamental knowledge of Linux basics is necessary as Hadoop runs on Linux.

After the completion of Hadoop Admin Training course at PrwaTech, you will be able to:

Gain complete understanding of Apache Hadoop, Hadoop Cluster, HDFS and Hadoop Administration
Get an insight on Hadoop 2.0, HDFS Federation, Name Node High Availability, MapReduce v2, YARN
Plan and install a Hadoop Cluster
Load Data as well as Run the Applications
Manage, Monitor, Troubleshoot and Maintain a Hadoop Cluster
Learn Backup and Recovery
Learn about Hcatalog/Hive, Oozie and HBase Administration

Module 1: Hadoop Cluster Administration

Topics Covered on Cluster Administration

Learning objectives- In this section, we shall understand what is Big Data and Apache Hadoop, How Hadoop solves Big Data problems, Hadoop Cluster Architecture, Hadoop Data loading techniques, Introduction to MapReduce and role of Hadoop Cluster Administrator.

Introduction to Big Data
Hadoop Architecture
Hadoop Cluster Administrator: Roles and Responsibilities
MapReduce Framework
A typical Hadoop Cluster
Data Loading into HDFS

Module 2: Hadoop Architecture and Cluster setup

Topics covered on Hadoop Architecture and Cluster setup

Learning Objectives – This module will help you understand Multiple Hadoop Server roles such as NameNode and DataNode, and MapReduce data processing; you will also understand the Hadoop 1.0 Cluster setup and configuration, steps in setting up Hadoop Clients using Hadoop 1.0, and important Hadoop configuration files and parameters.

Hadoop Installation and Initial Configuration
Deploying Hadoop in pseudo-distributed mode
deploying a multi-node Hadoop cluster
Installing Hadoop Clients
Hadoop server roles and their usage
Rack Awareness
Anatomy of Write and Read
Replication Pipeline
Data Processing

Module 3: Hadoop Cluster-Planning and Managing

Topics Covered on Cluster planning and management

Learning Objectives – This module will deal with understanding the key concepts of Planning and Managing a Hadoop Cluster, Hadoop Cluster Monitoring and Troubleshooting, Analysing logs, and Auditing. You will also realize Scheduling and Executing Map Reduce Jobs, and different Schedulers.

Planning the Hadoop Cluster
Cluster Size
Hardware and Software considerations
Managing and Scheduling Jobs
Types of schedulers in Hadoop
Configuring the schedulers and run Map Reduce jobs
Cluster Monitoring and Troubleshooting

Module 4: Backup, Recovery and Maintenance

Topics Covered on Back-Up, Recovery and Maintenance

Learning Objectives – In this module, you will understand all the regular Cluster Administration tasks such as adding and Removing Data Nodes, NameNode recovery, configuring Backup and Recovery in Hadoop, Diagnosing the Node Failures in the Cluster, Hadoop Upgrade etc.

Setting up Hadoop Backup
Whitelist and blacklist data nodes in a cluster
Setup quota’s
Upgrade Hadoop cluster
Copy data across clusters using distcp
Diagnostics and Recovery
Cluster Maintenance
Configure Rack awareness

Module 5: Hadoop 2.0 and High Availability

Topics Covered on Hadoop 2.0 and HA

Learning Objectives – In this module we shall aim to understand and implement Secondary NameNode setup and check pointing, Hadoop 2.0 New Features, HDFS High Availability, YARN framework, MRv2, and Hadoop 2.0 Cluster setup in pseudo- distributed and distributed mode.

Configuring Secondary NameNode
Hadoop 2.0
YARN framework
Hadoop 2.0 Cluster setup
Deploying Hadoop 2.0 in pseudo-distributed mode
Deploying a multi-node Hadoop 2.0 cluster

Module 6: Advanced Topics-QJM, HDFS Federation and Security

Advanced Topics

Learning Objectives- This module will help strengthening basics of Hadoop security, Managing security with Kerberos, HDFS Federation setup and Log Management. You will also understand HDFS High Availability using Quorum Journal Manager (QJM).

Basics of Hadoop Platform Security
Securing the Platform
Configuring Kerberos
Configuring HDFS Federation
Service Monitoring, Service and Log Management
Auditing and Alerts
Service Monitoring

Module 7: Oozie, Hcatalog/Hive and HBase Administration

Topics covered on Oozie, Hcatalog and HBase Administration

Learning Objectives – This module will assist you in Setting up Apache Oozie Workflow Scheduler for Hadoop Jobs, Hcatalog/Hive Administration, deploying HBase with other Hadoop components, Using HBase effectively to load data, writing to and reading from HBase.

Hcatalog/Hive Administration
HBase Architecture
HBase setup
HBase and Hive Integration
HBase performance optimization

Module 8: Project-Hadoop Implementation


Learning Objectives – This module will provide in-depth understanding of the manner of working of multiple Hadoop ecosystem components in solving Big Data problems. You will also learn how to plan, design, and deploy a Hadoop Cluster using a typical Real-World Use Case.

Understanding the Problem, Plan, Design, and Create a Hadoop Cluster for a Real World Use Case
Setup and Configure commonly used Hadoop ecosystem components such as Pig and Hive
Configure Ganglia on the Hadoop cluster and troubleshoot the common Cluster Problems
Setting cluster on different mode
Single node Cluster
Multiple nodes Cluster
Cssh Cluster
AWS Cluster
Monitoring Tool Gangilia

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Price: ₹ 13,500
Start-End Dates: 25 Jun 16 - 24 Jul 16
Course Duration: 30 days
Discount: 25%
Instructional Level: Appropriate for All
Live Projects
Doubt Clearing Sessions
Reading Material
EMI Option
Online Support
Post completion course access
Practice Exams
Placement assistance
Refund Policy
Post completion support

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