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Bigdata and Hadoop Administrator

The Hadoop and Big Data Administration instructional class is intended to give learning and aptitudes to wind up an effective Hadoop and Big Data. It begins with the key ideas of Apache Hadoop and Big Data. It covers subjects to send, design, oversee, screen, and secure a Hadoop Cluster. The course will likewise cover HBase Administration. There will be numerous testing, viable and centred hands-on activities for the learners. Before the end of this Hadoop and Big Data Administration preparing, you will be arranged to comprehend and take care of genuine issues that you may go over while chipping away at Hadoop and Big Data. Course is dedicated towards preparing individuals for serious and effective data management duties. The successful completion of the course enables professionals to take up, important duties, such as- installing, configuring and managing the much sought after Apache Hadoop platform. These activities contribute generously to managing large cluster of data with much efficiency for a prolonged period of time.

Candidates who have completed the Big Data and Hadoop Admin Training from KBS Training Institute will be able to apply their knowledge and skills to any company, belonging to every industry in the market. This is precisely how well trained and dynamic these individuals will be post the successful completion of the course. This quality opens up to them a vast number of professional opportunities to bank upon.

: Technical

: 30 Days

: Week Days: 1 - 2 hrs per day (OR) Weekends: 2 - 3 hrs per day

: Online / Classroom Training Study

: Softcopy

System Access
: 30 Days

Job Assurance
: 100% Placement Assistance

: Interview Questions & Answers will be covered along with course

Introduction to Big Data

  • Rise of Big Data
  • Compare Hadoop vs traditonal systems
  • Hadoop Master-Slave Architecture
  • Understanding HDFS Architecture
  • NameNode, DataNode, Secondary Node
  • Learn about JobTracker, TaskTracker

Introduction to Hadoop

  • The amount of data processing in today’s life
  • What Hadoop is why it is important?
  • Hadoop comparison with traditional systems
  • Hadoop history
  • Hadoop main components and architecture

Hadoop Distributed File System (HDFS)

  • HDFS overview and design
  • HDFS architecture
  • HDFS file storage
  • Component failures and recoveries
  • Block placement
  • Balancing the Hadoop cluster

Planning your Hadoop cluster

  • Planning a Hadoop cluster and its capacity
  • Hadoop software and hardware configuration
  • HDFS Block replication and rack awareness
  • Network topology for Hadoop cluster

Hadoop Deployment

  • Different Hadoop deployment types
  • Hadoop distribution options
  • Hadoop competitors
  • Hadoop installation procedure
  • Distributed cluster architecture
  • Hadoop Installation

Working with HDFS

  • Ways of accessing data in HDFS
  • Common HDFS operations and commands
  • Different HDFS commands
  • Internals of a file read in HDFS
  • Data copying with ‘distcp’
  • Working with HDFS

Mapreduce Abstraction

  • What MapReduce is and why it is popular
  • The Big Picture of the MapReduce
  • MapReduce process and terminology
  • MapReduce components failures and recoveries
  • Working with MapReduce

Hadoop Cluster Configuration

  • Hadoop configuration overview and important configuration file
  • Configuration parameters and values
  • HDFS parameters MapReduce parameters
  • Hadoop environment setup
  • ‘Include’ and ‘Exclude’ configuration files
  • MapReduce Performance Tuning

Hadoop Administration and Maintenance

  • Namenode/Datanode directory structures and files
  • File system image and Edit log
  • The Checkpoint Procedure
  • Namenode failure and recovery procedure
  • Safe Mode
  • Metadata and Data backup
  • Potential problems and solutions / what to look for
  • Adding and removing nodes
  • MapReduce File system Recovery

Hadoop Monitoring and Troubleshooting

  • Best practices of monitoring a Hadoop cluster
  • Using logs and stack traces for monitoring and troubleshooting
  • Using open-source tools to monitor Hadoop cluster

Job Scheduling

  • How to schedule Hadoop Jobs on the same cluster
  • Default Hadoop FIFO Schedule
  • Fair Scheduler and its configuration

Hadoop Multi Node Cluster Setup and Running Map Reduce Jobs on Amazon Ec2

  • Hadoop Multi Node Cluster Setup using Amazon ec2 – Creating 4 node cluster setup
  • Running Map Reduce Jobs on Cluster

High Availability Federation, Yarn and Security

The course objectifies to benefit its students in a number of ways. Some of the major benefits that candidates enrolling into this course will be able to enjoy, include-

Better understanding of Hadoop Architecture

Learning new and advanced techniques as to how to backup, maintain and recover Hadoop Clusters.

Learning how to monitor Hadoop Cluster with the help of Ganglia.

Learning how to manage and plan extensive Hadoop Cluster

Creating a knowledgeable base and understanding on topics, such as- HDFS Federation, QJM, and Security.

Learning about YARN and Hadoop 2.0.

A one of a kind curriculum that covers Ganglia, Puppet, Ambari, AWS, and most importantly Hadoop Administration 

Becoming an expert in HBase and Hive Administration.

Benefits of getting Certification

KBS trainers are the instructional and premier technical experts  so you can join this distinctive group and reap numerous merits of membership and training certification with flexible access to the entire library of certified Microsoft training and products. 

Incredible Career Prospects

The excellent training program support and help the career growth of both business and IT professionals. Plus, it enhances your working capabilities without taking more time. The simple accessibility allows you to expand and explore vast knowledge in a fast manner.  

About experienced faculty 

The training institution comes with experienced experts who are offering superior training to implement skills and build application successfully. With stunning practical approach and vast experience, the faculty surely bring you the best training. 

Course Highlights: 

There are a number of highlights of the Big Data and Hadoop Admin Training by KBS that makes it one of the most sought after courses in the market. Some of these highlights include

A well-researched and executed curriculum and course study material that trains candidates for a better understanding of Puppet, for handling and automating repetitive tasks, Ambari, for provisioning, managing, monitoring Hadoop clusters,  AWS, for easier deployment of Hadoop cluster, etc.

A hands-on training in these matters by expert mentors, give the students ample experience for the real world professional situations and responsibilities they have to shoulder.

Why do I need Hadoop Administrator training from KBS?

KBS Training Institute is not only a recognised centre to provide training in this discipline but is also registered to do so. Hence, our certificate, makes for one of you strongest asset and helps you bank the best jobs.

How do I enrol?

You will have to log on to our site and fill up the enrolment form. You can make payment for your tuition fee through- credit/debit cards, etc.

Is the fee refundable?

In case that you do not want to start with the course, the tuition fee will be returned to you in full, after deducting the administration cost from it.

How do I receive my certificate?

You will receive your certificate by mail, once you complete your examination and project successfully.

Do I get a Placement?

The institute will help you with Building a creative resume, looking for potential job offers, assistance for best jobs preparing for interviews and other consultations.


Degree in Information Technology or real time work experience in IT industry

Fundamental comprehension of Windows operating System

Basic knowledge on data retrieving and databases or proportional involvement in distributed computing and virtualization and Fundamental comprehension of databases.

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