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iClass Training in Delhi India

Hadoop Training Delhi 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 8099 902 902

Enquiry : +91 8099 620 260

 

Hadoop training Delhi Reviews

Hadoop training Delhi
Reviewed by
Padmavati
on
My Apache Spark certification course experience during was good. iClass Training Delhi in Darya Ganj provides excellent training by their experienced faculties. For Apache Spark certification, I prefer iClass Training Delhi in Delhi.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Delhi
Reviewed by
Aatmaj
on
I had joined iClass Training Delhi to learn Mircosoft Advanced Excel in Andrewsganj.iClass Training Delhi is a very best institute in Delhi to study Mircosoft Advanced Excel course. I had a lot of practical and theoretical knowledge. And trainer also very friendly to clear doubts.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Delhi
Reviewed by
Maduri
on
iClass Training Delhi in Delhi is really good institute to learn Joomla CMS. Heartily thanks to Chandrakanta sir who gave us a good knowledge of Joomla CMS which really helped us a lot. iClass Training Delhi in Jhilmil centre is a perfect platform to learn Joomla CMS.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Delhi
Reviewed by
Manikaant
on
I was a fresher when I joined iClass Training Delhi in Delhi.I found that they follow an advanced syllabus for sales force cloud computing with the best trainers in xrarea centre. Nice positive environment to learn and very open to clear the doubts. For people who are seeking knowledge here is the place to go.

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Delhi
Reviewed by
Maharshi
on
Clear explanation on Selenium Web Driver in New Subzi Mandi center focus is on conceptual knowledge. A hand on experience was really good. Appreciate the attention on individual queries. Thanks iClass Training Delhi in Delhi.

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Delhi
Reviewed by
Parinita
on
Myself Parinita, I planned to pursue Datastage near Delhi where my residence. I have gone and approached many training Institutes in and around Delhi, but no one were up to my expectation. Maximum of them had either higher price or had faculties with only theoretical experience. That is when I came to know about Institute where the faculty people are very friendly and knowledgeable above all they are working professionals

Rating:
5/5 5 Star Rating: Excellent

Best Hadoop training institute in delhi

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

4 Star Rating: Very Good 4.0 out of 5 based on 932 student ratings.

iClass Delhi provides real-time and placement focused apache hadoop training in delhi . 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 delhi as quickly as once you complete the big data hadoopv certification training course. Our apache hadoop trainers are hadoop administration certified experts and 4 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 Delhi offers apache hadoop training with choice of multiple training locations across delhi. 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 delhi. Through our associated apache hadoop training centers, we have trained more than 1071 apache hadoop students and Placement provided for 889 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 delhi conducted on day time classes, weekend training classes, evening batch classes and fast track training classes.

Hadoop training course content and Syllabus in Delhi

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 Delhi

Regular Classes( Morning, Day time & Evening)

  • Duration : 5 weeks

Weekend Training Classes( Saturday, Sunday & Holidays)

  • Duration : 9 Weeks

Fast Track Training Program( 5+ hours classes daily)

  • Duration : within 5 weeks

Hadoop trainer Profile & Placement

Our Hadoop Trainers

  • More than 4 Years of experience in Hadoop Technologies
  • Has worked on 5 realtime Hadoop projects
  • Working in a MNC company in Delhi
  • Trained 1071+ Students so far.
  • Strong Theoretical & Practical Knowledge
  • Hadoop certified Professionals

Hadoop (hadoop administration) Placement Training in Delhi

  • More than 1071+ students Trained
  • 889 students Placed
  • 498 Interviews Organized
  • Placement Supported by InterviewDesk.com

Hadoop training Locations in Delhi

Our Hadoop Bigdata Administration Training centers

  • Ashok Vihar
  • Badarpur
  • Baghpat
  • Bahadurgarh
  • Bakhtawarpur
  • Bawana
  • Connaught Place
  • Dwarka
  • East of Kailash
  • Faridabad
  • G T B Nagar
  • Garhi
  • Ghaziabad
  • Halapur
  • Indirapuram
  • Janakpuri
  • Kalkaji
  • Lajpat Nagar
  • Laxmi Nagar
  • Munirka
  • Narela
  • New Delhi
  • New Delhi
  • Paschim Vihar
  • Pawala
  • Pitampura
  • Preet Vihar
  • Puth Khurd
  • Rohini
  • Shahdara
  • Shidipur
  • Sonepat
  • Sonipat
  • South Extension Part I
  • South Extension Part II
  • Vasant Kunj
  • Vikas Puri

Hadoop training batch size (students per class) in Delhi

Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 9 (maximum)

Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 11 (maximum)

Fast Track batch

  • Seats Available : 6 (maximum)

Upcmoing apache hadoop Training Classes in Delhi

    Below are start date of hadoop training classes in Delhi 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 8099 902 902 anytime.

    Start DateCourse TimingsSeats & AvailabilityRegistration Status
    23-Sep-201810.00 AM till 4.00 PM (Sat & Sunday Only)
    Weekend Class
    Total :4
    Available: 3
    Booking Open
    25-Sep-20189.00 AM till 12.00 PM
    Fasttrack Class
    Total :6
    Available: 4
    Booking Open
    05-Oct-20189.00 AM till 12.00 PM
    Fasttrack Class
    Total :6
    Available: 5
    Booking Open
    18-Oct-20182.00 PM till 5.00 PM
    Regular Class
    Total :9
    Available: 7
    Booking Open
    19-Oct-20182.00 PM till 5.00 PM
    Regular Class
    Total :9
    Available: 8
    Booking Open

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