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Best Hadoop Training in Delhi

APTRON Delhi is an authorized resource of Hadoop training in Delhi. We have an outstanding IT infrastructure equipped with all necessary IT requirements. The strength of the Hadoop institute in Delhi lies in its trainers. They generate interactive sessions and demonstrations by our instructors help learners in understanding all the features and programming skills of Hadoop easily. The Hadoop course in Delhi focuses on the fundamentals and superior topics of Hadoop. The training process also drives you to study about the heterogeneous data such as structured, unstructured, communication records, log files, audio files, pictures, and videos coming from different sources. Hadoop course brings the key idea and skill necessary to expand strong data processing applications utilizing Apache Hadoop. Hadoop training is significant to find out and understand the power of Big Data.

The important topics are MapReduce, Hadoop Distributed File System (HDFC), Hive, Hbase, ZooKeeper, Sqoop, Hadoop cluster, Pig, and Flume. In addition, the set of courses explain how to relate data analytics and business intelligence (BI) abilities to Big Data. It lays weight on using Apache Pig, Cloudera Impala and Hive. The in-depth skill training encourages the aspirants to understand the growth of distributed processing of large data sets. The candidates will learn how to handle heterogeneous data coming from diverse sources.

APTRON Delhi being the best source of Hadoop training in Delhi has certified instructors who are developing IT leaders making a divergence globally. They are imparting skills to the learners to plan, install, configure, secure, monitor, and administer along with troubleshoot Hadoop process, components, and cluster. The Hadoop course in Delhi contains interactive lectures, hands-on lab practices, and placement-oriented curriculum. Learners can access lab for limitless hours, and get all supports for Hadoop certification. Such Hadoop training delivers the candidates an inclusive understanding on the unbeaten implementation of real-life Hadoop for vast IT projects. Recognize, spot and understand the operation of an Apache Hadoop cluster improves the skill in handling the database of any enterprise.

Our authorized industrial trainers are having advanced information of Hadoop concepts and principles. Trainers expand Hadoop training methodologies based-on real-world business scenarios. This training has the ability to meet the latest industry requirements adequately. The architectural skill of Hadoop and the effective and clear translation of complex technologies are the outstanding talents of our Hadoop trainers. Moreover, applicants with technical queries can get in touch with our trainers at any time of the day. The Hadoop queries of the students are addressed patiently and repeatedly.

Students keen to learn Hadoop can opt for Hadoop training classes in Delhi on weekdays or weekends depending upon their requirements. APTRON, Hadoop training institute in Delhi offers a fast-track Hadoop training course and one-to-one training in Delhi to all the students. The major topics covered under Hadoop training in Delhi at APTRON are: Hadoop Basic Concepts/Fundamentals, Hadoop Architecture & Building Blocks, HDFS and MapReduce, Job Monitoring, Scheduling, Sorting, Exercise.

Hadoop Training Batches

Being well aware of the industry needs, APTRON Delhi offers the Hadoop Training in Delhi with major focus being on the practical aspects of the training. Our team of highly proficient Hadoop trainers offer Hadoop training in classroom and also we provide Hadoop corporate training services. The Hadoop training course syllabus here has been framed in a way to meet the professional requirements of both the beginner as well as the advanced level.

APTRON Hadoop Training in Delhi has been categorised into following batches and is conducted in multiple batche during morning as well as evening.

Track Fees Regular Weekend Fast Track
Course Duration Course Fees 45-60 Days 8 Weekend 5 Days
Hours Course Fees 2 Hours a day 3 Hours a day 6+ Hours a day
Training Mode Course Fees Live Class Room Live Class Room Live Class Room

Key Features of Hadoop Training at APTRON

Skill-based trainingOur trainers are industry professionals and certified academic entities. They deliver in-depth and skill training that meets the solutions to trending issues in the IT industry.

Limitless lab sessions APTRON delhi has an accredited and well-equipped IT infrastructure. It includes smart classrooms and smart labs settled with servers, routers, switches, data servers, Wi-Fi, live racks and other networking and technology related devices.

100% placement assistance Our recruitment team ensures to fix maximum interview appointments of Hadoop candidates on a regular basis. The recruitment HR team conducts mock-interview sessions, shares frequently asked questions of interviews, opts for personality development sessions, Spoken English, and improves presentation skills of the students. All such sessions help in building the confidence of the candidates as well as make his personality appealing for the interviews.

Reasonable fee APTRON delhi charge a reasonable fee and provides free of cost sessions such as personality development, Spoken English, presentation skills, conducts interviews, and study materials. Also, the timings are made flexible in accordance to students’ comfort.

  • Availability of free Demo classes
  • Industry expert trainers
  • Affordable course fee structure
  • 30+ hours of Course Duration
  • Guidance for the certification exams
  • 100% Placement assistance

Hadoop Training Overview

Hadoop Overview

  • Architecture Considerations
  • Infrastructure
  • Platforms and Automation

Use case walkthrough

  • ETL
  • Log Analytics
  • Real Time Analytics

Hbase for Developers :

NoSQL Introduction

  • Traditional RDBMS approach
  • NoSQL introduction
  • Hadoop & Hbase positioning

Hbase Introduction

  • What it is, what it is not, its history and common use-cases
  • Hbase Client – Shell, exercise

Hbase Architecture

  • Building Components
  • Storage, B+ tree, Log Structured Merge Trees
  • Region Lifecycle
  • Read/Write Path

Hbase Schema Design

  • Introduction to hbase schema
  • Column Family, Rows, Cells, Cell timestamp
  • Deletes
  • Exercise - build a schema, load data, query data

Hbase Java API – Exercises

  • Connection
  • Scan API
  • Filters
  • Counters
  • Hbase MapReduce
  • Hbase Bulk load

Hbase Operations, cluster management

  • Performance Tuning
  • Advanced Features
  • Exercise
  • Recap and Q&A

MapReduce for Developers


  • Traditional Systems / Why Big Data / Why Hadoop
  • Hadoop Basic Concepts/Fundamentals

Hadoop in the Enterprise

  • Where Hadoop Fits in the Enterprise
  • Review Use Cases


  • Hadoop Architecture & Building Blocks
  • HDFS and MapReduce

Hadoop CLI

  • Walkthrough
  • Exercise

MapReduce Programming

  • Fundamentals
  • Anatomy of MapReduce Job Run
  • Job Monitoring, Scheduling
  • Sample Code Walk Through
  • Hadoop API Walk Through
  • Exercise

MapReduce Formats

  • Input Formats, Exercise
  • Output Formats, Exercise

Hadoop File Formats

MapReduce Design Considerations

Hadoop File Formats

MapReduce Algorithms

  • Walkthrough of 2-3 Algorithms

MapReduce Features

  • Counters, Exercise
  • Map Side Join, Exercise
  • Reduce Side Join, Exercise
  • Sorting, Exercise

Use Case A (Long Exercise)

  • Input Formats, Exercise
  • Output Formats, Exercise

MapReduce Testing

Hadoop Ecosystem

  • Oozie
  • Flume
  • Sqoop
  • Exercise 1 (Sqoop)
  • Streaming API
  • Exercise 2 (Streaming API)
  • Hcatalog
  • Zookeeper

HBase Introduction

  • Introduction
  • HBase Architecture

VIEW Types

  • Default Views
  • Overriden Views
  • Normal Views

MapReduce Performance Tuning

Development Best Practice and Debugging

Apache Hadoop for Administrators

Hadoop Fundamentals and Architecture

  • Why Hadoop, Hadoop Basics and Hadoop Architecture
  • HDFS and Map Reduce

Hadoop Ecosystems Overview

  • Hive
  • Hbase
  • ZooKeeper
  • Pig
  • Mahout
  • Flume
  • Sqoop
  • Oozie

Hardware and Software requirements

  • Hardware, Operating System and Other Software
  • Management Console

Deploy Hadoop ecosystem services

  • Hive
  • ZooKeeper
  • HBase
  • Administration
  • Pig
  • Mahout
  • Mysql
  • Setup Security

Enable Security – Configure Users, Groups, Secure HDFS, MapReduce, HBase and Hive

  • Configuring User and Groups
  • Configuring Secure HDFS
  • Configuring Secure MapReduce
  • Configuring Secure HBase and Hive

Manage and Monitor your cluster


Command Line Interface

Troubleshooting your cluster

Introduction to Big Data and Hadoop

Hadoop Overview

  • Why Hadoop
  • Hadoop Basic Concepts
  • Hadoop Ecosystem – MapReduce, Hadoop Streaming, Hive, Pig, Flume, Sqoop, Hbase, Oozie, Mahout
  • Where Hadoop fits in the Enterprise
  • Review use cases

Apache Hive & Pig for Developers

Overview of Hadoop

  • Why Hadoop
  • Hadoop Basic Concepts
  • Hadoop Ecosystem – MapReduce, Hadoop Streaming, Hive, Pig, Flume, Sqoop, Hbase, Oozie, Mahout
  • Where Hadoop fits in the Enterprise
  • Review use cases

Overview of Hadoop

  • Big Data and the Distributed File System
  • MapReduce

Hive Introduction

  • Why Hive?
  • Compare vs SQL
  • Use Cases

Hive Architecture – Building Blocks

  • Hive CLI and Language (Exercise)
  • HDFS Shell
  • Hive CLI
  • Data Types
  • Hive Cheat-Sheet
  • Data Definition Statements
  • Data Manipulation Statements
  • Select, Views, GroupBy, SortBy/DistributeBy/ClusterBy/OrderBy, Joins
  • Built-in Functions
  • Union, Sub Queries, Sampling, Explain

Hive Architecture – Building Blocks

  • Hive CLI and Language (Exercise)
  • HDFS Shell
  • Hive CLI
  • Data Types
  • Hive Cheat-Sheet
  • Data Definition Statements
  • Data Manipulation Statements
  • Select, Views, GroupBy, SortBy/DistributeBy/ClusterBy/OrderBy, Joins
  • Built-in Functions
  • Union, Sub Queries, Sampling, Explain

Hive Architecture – Building Blocks

  • Hive CLI and Language (Exercise)
  • HDFS Shell
  • Hive CLI
  • Data Types
  • Hive Cheat-Sheet
  • Data Definition Statements
  • Data Manipulation Statements
  • Select, Views, GroupBy, SortBy/DistributeBy/ClusterBy/OrderBy, Joins
  • Built-in Functions
  • Union, Sub Queries, Sampling, Explain

Hive Usecase implementation -(Exercise)

  • Use Case 1
  • Use Case 2
  • Best Practices

Advance Features

  • Transform and Map-Reduce Scripts
  • Custom UDF
  • UDTF
  • SerDe
  • Recap and Q&A

Pig Introduction

  • Position Pig in Hadoop ecosystem
  • Why Pig and not MapReduce
  • Simple example (slides) comparing Pig and MapReduce
  • Who is using Pig now and what are the main use cases
  • Pig Architecture
  • Discuss high level components of Pig
  • Pig Grunt - How to Start and Use

Pig Latin Programming

  • Data Types
  • Cheat sheet
  • Schema
  • Expressions
  • Commands and Exercise
  • Load, Store, Dump, Relational Operations,Foreach, Filter, Group, Order By, Distinct, Join, Cogroup,Union, Cross, Limit, Sample, Parallel

Use Cases (working exercise)

  • Use Case 1
  • Use Case 2
  • Use Case 3 (compare pig and hive)

Advanced Features, UDFs

Best Practices and common pitfalls

Mahout & Machine Learning

  • Mahout Overview
  • Mahout Installation
  • Introduction to the Math Library
  • Vector implementation and Operations (Hands-on exercise)
  • Matrix Implementation and Operations (Hands-on exercise)
  • Anatomy of a Machine Learning Application


  • Introduction to Classification
  • Classification Workflow
  • Feature Extraction
  • Classification Techniques (Hands-on exercise)

Evaluation (Hands-on exercise)

  • Clustering
  • Use Cases
  • Clustering algorithms in Mahout
  • K-means clustering (Hands-on exercise)
  • Canopy clustering (Hands-on exercise)


  • Mixture Models
  • Probabilistic Clustering – Dirichlet (Hands-on exercise)
  • Latent Dirichlet Model (Hands-on exercise)
  • Evaluating and Improving Clustering quality (Hands-on exercise)
  • Distance Measures (Hands-on exercise)

Recommendation Systems

  • Overview of Recommendation Systems
  • Use cases
  • Types of Recommendation Systems
  • Collaborative Filtering (Hands-on exercise)
  • Recommendation System Evaluation (Hands-on exercise)
  • Similarity Measures
  • Architecture of Recommendation Systems
  • Wrap Up

Top Reasons to Choose APTRON for Hadoop Training in Delhi

    • APTRON delhi is an accredited Hadoop institute in delhi. It has acquired its reputation by training thousands of satisfied students every year.
    • Compared to other institutes, the respective Hadoop institute has the largest IT lab and provides accessibility to the students for limitless hours.
    • Industry recognized and certified trainers imparting training from past several years to the students.
    • Students find impressive IT infrastructure, smart classrooms, smart labs, and impeccable learning environment inside APTRON delhi.
    • After completion of Hadoop course in delhi, students get free of cost 100% placement assistance. The institute ensures that every student is placed quickly after the training. Aptron delhi has 97% success rate in placing students across delhi, Delhi, Delhi, and in other smart cities of India.
    • Students can avail Extra Time Slots (E.T.S.) for practical, absolutely free.
    • There is no extra fee charged from the students who need to retake any class or require One-on-One attention from the instructors.
    • APTRON delhi provides free study material, books, PDFs, video trainings, video lectures, sample questions, exam preparation, interview questions, HR screening questions, lab guides and projects.
    • Our Hadoop certification is globally recognized. We accept Cheque, Cash, Credit Card, Debit card, Net Banking payment modes.

Hadoop Training in delhi FAQ’s

What is the objective of APTRON’s Hadoop Training?

The objective of Hadoop training in delhi is to impart knowledge, information and skill to the students concerning to Apache Hadoop concepts by building-up the confidence in the framework of Big Data. The Hadoop course in delhi covers the concepts of all Hadoop ecosystem components like HDFS, MapReduce, SQOOP, HIVE, HBASE, OOLIE, FLAME, and PIG.

Why shall I opt for Hadoop Training?
  • Hadoop is accepted universally in all technological innovations and developments. Artificial Intelligence, IoT, and Machine Learning concepts are completely based on Hadoop Big Data.
  • In the international job market, Hadoop has been accepted to be an effective and productive technology in the current IT age.
  • Hadoop is becoming a requirement for the businesses, which have global acceptance.
  • Hadoop is an ideal technology that can render large development teams and single domain users.
Who should opt for Hadoop Training?

APTRON’s Hadoop training is suitable for:

  •  Individuals, who need to make a quick entry into the IT sector by learning a diverse and trending technology.
  • Hadoop professionals are paid a high salary and the career prospects have global acceptance.
  • Hadoop equips flexibility and interactive features. Hence, it is considered as the foundation behind the success of Artificial intelligence, and Machine Learning
How would Hadoop Training help in shaping your career?

Hadoop has occupied the place amongst the topmost database available in the IT industry. You not only attain a designation such as Hadoop Developer, Hadoop Research Analyst, Hadoop Programmer, Hadoop Data Analyst, etc. but also you enjoy the high remuneration throughout your career.

What are the prerequisites or eligibility to learn Hadoop Training?

No eligibility criterions are required to learn Hadoop, though, rigorous practice is always recommended to the Hadoop training students.

Students with fundamental knowledge of programming or having a little exposure could be considered beneficial but not necessary.

What skills you will learn during Hadoop training in delhi?

The skills that students infuse in their career venture are the understanding, implementation, configuration, and administration of the concept such as RDBMS, Grid computing, MapReduce and HDFS. They learn to fix PIG, HIVE, HBas, Sqoop, Hadoop Ecosystem, etc. Aspirants also learnt about debug, and implementation of MapReduce applications of Hadoop cluster.

What is Hadoop course duration and fees?

APTRON’s Hadoop course duration in delhi depends upon the students’ flexibility. We conduct classes throughout the weekdays, weekends, and offer crash courses as well. Thus, it entirely depends upon the grasping ability and the type of batch a student has selected.

Our Hadoop course fee is not only affordable but reasonable too. Students from all walks of life can afford to enroll in a career that offers a better life and living.

What is the Hadoop Trainer’s Profile at APTRON?

Our Hadoop Trainers at APTRON:

  •  Have more than 7 Years of expertise in Hadoop Technologies
  • Have worked on several real-time Hadoop based live projects
  • Have been working in the top MNCs
  • Trained 1000+ aspirants till date
  • Strong proficiency in both Practical and Theoretical Knowledge
  • Certified Professionals
What about the Hadoop Placement Training?

Our Hadoop placement training includes personality development, communication classes, training on Hadoop interview questions and answers, and confidence-building sessions to boost students to face Hadoop job interviews successfully.

  • More than 1000+ students professionally Trained
  • 100% Placement Record
  • Several Interviews conducted every month
What is the average salary for Hadoop Professionals?

The average salary of Hadoop professionals can vary according to the city, state/province, and country. However, it can be between 4 to 5 lacs per annum.

What are the roles offered by companies to Hadoop professionals?

After competition of Hadoop certification, you discover the role of a Software Programmer, Research Analyst, Hadoop Programmer, Data Analyst, Hadoop Developer, etc in an organization.

Do I get job assistance at the end of this course?

Yes, of-course, APTRON has a committed placement cell that supports participants until they are well placed in an organization.

  • We help you in building a proper resume.
  • We discuss top interview questions and answers in the related technology.
  • We share some valuable insights about the real world projects by making use of this specific technology.
  • We work tirelessly in order to bring a better career change.
What payment modes are accepted?

We accept all major payment modes i.e. Card (Master, Visa and Maestro etc), Cash, Net Banking, Paytm etc.

Hadoop Training Course Reviews

Best Hadoop Institute in Delhi

Reviewed by : Sandhya Bhardwaj

06 Feb 2018


four star

Datastage requires a lab equipped with dedicated servers, rounter, network connectivity and other live rack devices. APTRON Delhi is equipped with all such devices to fulfill the Datastage training course requirements. The training institute provides free Study Material, Books, PDFs, Video Trainings, Video Lectures, Sample Questions, Exam Preparation, Interview Questions, HR screening questions, Lab Guides and Projects. Also, they facilitate students with free of cost personality development sessions. These sessions comprise of spoken English, group discussions, mock interviews, presentation skills. They have skilled trainers and smart classrooms. Lastly, there fee is reasonable, especially when abovementioned study materials and sessions are availed at free of cost. Thanks APTRON. I recommend.

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