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iClass Training in Gurgaon India

Hadoop Training Gurgaon Benefits

  • Real Time Trainers
  • 100% Placement
  • Small Training Batch
  • Flexible Timings
  • Practical Guidance
  • Excellent Lab Facility
  • Hadoop Resume Preparation
  • Hands on Experience
  • apache hadoop Certification Support

 

apache hadoop Training Support

Enquiry : +91 8824203300

Enquiry : +91 7665267891

 

Hadoop training Gurgaon Reviews

Hadoop training Gurgaon
Reviewed by
Balaram
on
The experience which I had from iClass Training Gurgaon in Gurgaon is good. I learnt SAP HR certification in iClass Training Gurgaon, located at Sector 23 centre. The environment is good. They way of explaining each and everything from basics was very appreciable. The doubts are cleared to our satisfaction.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Gurgaon
Reviewed by
Karan
on
Before joining iClass Training Gurgaon in Gurgaon I thought it would be difficult for me to learn HTML5 and CSS3 as I am from non-technical background. But as every concept is taught with plenty of examples, it is very easy to get strong hold on the subject. For HTML5 and CSS3, I prefer iClass Training Gurgaon in Sector 12.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Gurgaon
Reviewed by
Sanjay
on
iClass Training Gurgaon in Sector 34 was a very good experience and managed to gain a lot of knowledge in this ms sql certification field. Thank you for iClass Training Gurgaon in Gurgaon, providing me such a good environment along with real-time work experience throughout the completion of course.

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Gurgaon
Reviewed by
Abhi
on
Hi I am Abhi from Gurgaon. I done HTML5 and CSS3 course . Very good institute & very good for learn.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Gurgaon
Reviewed by
Sanjit
on
In entire Gurgaon,this is the best Cognos TM1 Certification course training institute.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Gurgaon
Reviewed by
Rakshita
on
My trainer was co- operative in building the sense of SAP EHS . Specially, when I asked question he instructed me in details. Sometimes, he assisted me practically. Besides, he told us how to develop an entire project with practical sense. He is a good trainer indeed from iClass Training Gurgaon from Shakuntala in Gurgaon.

Rating:
4/5 4 Star Rating: Very Good

Best Hadoop training institute in gurgaon

Hadoop Training in Gurgaon & Best Hadoop Bigdata Administration Training Institute in Gurgaon

4 Star Rating: Very Good 4.4 out of 5 based on 2067 student ratings.

iClass Gurgaon provides real-time and placement focused apache hadoop training in gurgaon . Our hadoop administration course includes basic to advanced level and our apache hadoop course is designed to get the placement in good MNC companies in gurgaon as quickly as once you complete the big data hadoopv certification training course. Our apache hadoop trainers are hadoop administration certified experts and 8 years experienced working professionals with hands on real time multiple Hadoop projects knowledge. We have designed our apache hadoop course content and syllabus based on students requirement to achieve everyone's career goal.

iClass Gurgaon offers apache hadoop training with choice of multiple training locations across gurgaon. Our hadoop administration training centers are equipped with lab facilities and excellent infrastructure. We also provide hadoop administration certification training path for our students in gurgaon. Through our associated apache hadoop training centers, we have trained more than 2216 apache hadoop students and Placement provided for 1617 students. Our hadoop administration course fee is value for money and tailor-made course fee based on the each student's training requirements. apache hadoop training in gurgaon conducted on day time classes, weekend training classes, evening batch classes and fast track training classes.

Hadoop training course content and Syllabus in Gurgaon

Hadoop Course Content
  • 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
  • CRUD API
  • 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

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

Hadoop in the Enterprise
  • Where Hadoop Fits in the Enterprise
  • Review Use Cases

Architecture
  • 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

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

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
  • 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 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

Classification
  • 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)

Clustering
  • 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

Hadoop training duration in Gurgaon

Regular Classes( Morning, Day time & Evening)

  • Duration : 4 weeks

Weekend Training Classes( Saturday, Sunday & Holidays)

  • Duration : 6 Weeks

Fast Track Training Program( 2+ hours classes daily)

  • Duration : within 2 weeks

Hadoop trainer Profile & Placement

Our Hadoop Trainers

  • More than 8 Years of experience in Hadoop Technologies
  • Has worked on 11 realtime Hadoop projects
  • Working in a MNC company in Gurgaon
  • Trained 2216+ Students so far.
  • Strong Theoretical & Practical Knowledge
  • Hadoop certified Professionals

Hadoop (hadoop administration) Placement Training in Gurgaon

  • More than 2216+ students Trained
  • 1617 students Placed
  • 948 Interviews Organized
  • Placement Supported by InterviewDesk.com

Hadoop training Locations in Gurgaon

Our Hadoop Bigdata Administration Training centers

  • Adampur
  • Budhera
  • Budhera
  • Canal Colony
  • Choma
  • Ghata
  • Gurgaon
  • IMT Manesar
  • Jharsa
  • Mohammadpur
  • OM Nagar
  • Patel nagar
  • Pratap Nagar
  • Prem Nagar
  • sadhrana
  • Sanjay Colony
  • Sector 13
  • Sector 24
  • Sector 28
  • Sector 3
  • Sector 37
  • Sector 43
  • Sector 52
  • Sector 66
  • Sector 68
  • Sector 79

Hadoop training batch size (students per class) in Gurgaon

Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 7 (maximum)

Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 10 (maximum)

Fast Track batch

  • Seats Available : 5 (maximum)

Upcmoing apache hadoop Training Classes in Gurgaon

    Below are start date of hadoop training classes in Gurgaon with course start date, class timings, morning / evening / weekend training sessions along with total seats and available seats. To rigister or enuqire, Just give a missed call to 8824203300 anytime.

    Start DateCourse TimingsSeats & AvailabilityRegistration Status
    19-Oct-201910.00 AM till 4.00 PM (Sat & Sunday Only)
    Weekend Class
    Total :4
    Available: 3
    Booking Open
    28-Oct-20197.00 PM till 8.30 PM
    Evening Class
    Total :5
    Available: 5
    Booking Open
    28-Oct-20192.00 PM till 5.00 PM
    Regular Class
    Total :7
    Available: 7
    Booking Open
    31-Oct-20192.00 PM till 5.00 PM
    Regular Class
    Total :7
    Available: 6
    Booking Open
    05-Nov-20197.00 PM till 8.30 PM
    Evening Class
    Total :5
    Available: 4
    Booking Open
    06-Nov-20197.30 AM till 9.00 AM
    Morning Class
    Total :7
    Available: 5
    Booking Open

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