Follow @iclasstraining
iClass Training in Chandigarh India

Hadoop Training Chandigarh 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 9672234513

Enquiry : +91 9672234514

 

Hadoop training Chandigarh Reviews

Hadoop training Chandigarh
Reviewed by
Venugopal
on
Joined for aircraft maintenance technician course and continued for aircraft maintenance technician training as well. Now, I am completely confident enough in my subject. I never thought aircraft maintenance technician is SO BIG and huge!!!Loved learning in at Sector 35,Chandigarh.

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Chandigarh
Reviewed by
Kamesh
on
here in s they are sticking to their schedule which is really easy for me to complete the QlikView business discovery course.

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Chandigarh
Reviewed by
Eashwari
on
very good institute for DotNET LINQ. You will get the realtime DotNET LINQ training in Chandigarh.

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Chandigarh
Reviewed by
Mahbasah
on
In in Sector 39 centre quality of teaching is nice and I got the practical exposure to write my own programs. Cost wise it is very less and its truly knowledge and job oriented course. I would recommend in Chandigarh for Angular JS.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Chandigarh
Reviewed by
Vaikuntanath
on
This Vaikuntanath from Chandigarh, I personally feel that center in Chandigarh offers quality advanced dotnet education to get job soon.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Chandigarh
Reviewed by
Shalini
on
in Chandigarh has excellent trainer for DotNET LINQ and superb lab facilities, we always recommend is a best institute for DotNET LINQ training in Shivalik Enclave.

Rating:
4/5 4 Star Rating: Very Good

Best Hadoop training institute in chandigarh

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

4 Star Rating: Very Good 4.4 out of 5 based on 3352 student ratings.

iClass Chandigarh provides real-time and placement focused apache hadoop training in chandigarh . 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 chandigarh 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 Chandigarh offers apache hadoop training with choice of multiple training locations across chandigarh. 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 chandigarh. Through our associated apache hadoop training centers, we have trained more than 3434 apache hadoop students and Placement provided for 2560 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 chandigarh conducted on day time classes, weekend training classes, evening batch classes and fast track training classes.

Hadoop training course content and Syllabus in Chandigarh

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 Chandigarh

Regular Classes( Morning, Day time & Evening)

  • Duration : 7 weeks

Weekend Training Classes( Saturday, Sunday & Holidays)

  • Duration : 8 Weeks

Fast Track Training Program( 5+ hours classes daily)

  • Duration : within 5 weeks

Hadoop trainer Profile & Placement

Our Hadoop Trainers

  • More than 8 Years of experience in Hadoop Technologies
  • Has worked on 8 realtime Hadoop projects
  • Working in a MNC company in Chandigarh
  • Trained 3434+ Students so far.
  • Strong Theoretical & Practical Knowledge
  • Hadoop certified Professionals

Hadoop (hadoop administration) Placement Training in Chandigarh

  • More than 3434+ students Trained
  • 2560 students Placed
  • 1613 Interviews Organized
  • Placement Supported by InterviewDesk.com

Hadoop training Locations in Chandigarh

Our Hadoop Bigdata Administration Training centers

  • Mani Majra
  • SAS Nagar
  • Sector 34
  • Sector 17
  • Sector 40
  • Sector 26
  • Sector 65
  • Sector 46
  • Sector 35
  • Phase IIIB

Hadoop training batch size (students per class) in Chandigarh

Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 7 (maximum)

Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 11 (maximum)

Fast Track batch

  • Seats Available : 5 (maximum)

Press Esc to close