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  • 4th March, 2017

Best Hadoop & Big Data Training in Noida

COURSE CROWN Noida provides Best Hadoop training in Noida based on current industry standards that helps attendees to secure placements in their vision jobs at MNCs. COURSE CROWN Provides Best Hadoop Training in Noida. COURSE CROWN is one of the most believable Hadoop training institutes in Noida offering hands on sensible knowledge and full job assistance with essential as well as advanced level Hadoop training courses. At COURSE CROWN Hadoop Course in Noida is conduct by subject expert corporate professionals with 5+ years of experience in managing real-time Hadoop projects. COURSE CROWN implements a blend of a Hadoopemic learning and practical session to give the student best exposure that aids in the transformation of naïve students into methodical professionals that are simply recruited within the industry.

At COURSE CROWN’s well-equipped Hadoop training center in Noida aspirants learn the skills for Hadoop Basic Concepts/Fundamentals, HDFS and MapReduce, Hadoop Architecture & Building Blocks,  Job Monitoring, Scheduling, Sorting, Exercise, HBase Architecture Training on real time projects along with Hadoop 100% placement training. Hadoop Training in Noida has been designed as per newest industry trends and keeping in mind the advanced Hadoop course content and syllabus base on the professional obligation of the student; helping them to find placement in Multinational companies and attain their career goals.

COURSE CROWN is the main Hadoop training center in Noida with best infrastructure and lab facilities and the options of opting for multiple courses at Noida Location. COURSE CROWN in Noida prepare thousands of aspirants for Hadoop at sensible fees that is customized keeping in mind training and course happy requirement of each attendee.

Hadoop training course involves “knowledge by Doing” using state-of-the-art infrastructure for drama hands-on exercises and real-world simulation. This extensive hands-on knowledge in Hadoop training ensure that you absorb the information and skills that you will require to apply at work behind your placement in an MNC.

COURSE CROWN Noida is one of the best Hadoop training institute in Noida with 100% placement support. COURSE CROWN has well distinct course modules and training session for students. At COURSE CROWN Hadoop training is conduct during day time classes, weekend classes, evening batch classes and fast track course and training classes.

Course Content and Syllabus for Hadoop Training in Noida

Hadoop Course Content

  • Hadoop Overview, Architecture Considerations, Platforms, good Infrastructure and Automation

Use case walkthrough

  • Real Time Analytics
  • ETL
  • Log Analytics

Hbase for Developers :

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

Hbase Introduction

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

Hbase Architecture

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

Hbase Schema Design

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

Hbase Java API – Exercises

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

Hbase Operations, cluster management

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


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

Hadoop in the Enterprise

  • Review Use Cases
  • Where Hadoop Fits in the Enterprise


  • Hadoop Architecture & Building Blocks
  • HDFS and MapReduce

Hadoop CLI

  • Exercise
  • Walkthrough

MapReduce Programming

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

MapReduce Formats

  • Input Formats, Exercise
  • Output Formats, Exercise

Hadoop File Formats

  • Walkthrough of 2-3 Algorithms

MapReduce Features

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

Use Case A (Long Exercise)

  • Input Formats, Exercise
  • Output Formats, Exercise
  • MapReduce Testing

Hadoop Ecosystem

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

VIEW Types

  • Default Views
  • Normal Views
  • Overriden Views

MapReduce Performance Tuning

Apache Hadoop for Administrators

Development Best Practice and Debugging

Hadoop Fundamentals and Architecture

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

Hadoop Ecosystems Overview

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

Hardware and Software requirements

  • Hardware, Operating System and Other Software
  • Management Console

Deploy Hadoop ecosystem services

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

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

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

Command Line Interface

Troubleshooting your cluster

Introduction to Big Data and Hadoop

Manage and Monitor your cluster

Hadoop Overview

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

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?
  • Use Cases
  • Compare vs SQL

Hive Architecture – Building Blocks

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

Hive Architecture – Building Blocks

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

Hive Architecture – Building Blocks

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

Hive Usecase implementation -(Exercise)

  • Use Case 1
  • Best Practices
  • Use Case 2

Advance Features

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

Pig Introduction

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

Pig Latin Programming

  • Data Types
  • Schema
  • Cheat sheet
  • Commands and Exercise
  • Expressions
  • 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)

Best Practices and common pitfalls

Advanced Features, UDFs

Mahout & Machine Learning

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


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

Evaluation (Hands-on exercise)

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


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

Recommendation Systems

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

Top 10 Reasons to Choose COURSE CROWN for Hadoop Training in Noida

  • Hadoop training in Noida is designed according to current IT marketplace.
  • Offer the best Hadoop training and 100% placement in Noida with well distinct training modules and course sessions.
  • Weekend, Facilitate regular and customized Hadoop training in Noida..
  • Real Latest Equipments WITH Smart Labs
  • Smart classrooms fully equipped with projectors, Digital Pads, Wi-Fi connectivity.
  • Silent and Discussion Zone areas in Labs to enhance Self Study and Group Discussions.
  • Free of Cost Personality Development sessions including Spoken English, Group Discussions, Presentation skills, Mock Interviews.
  • Varity of Study Material: Books, PDF’s, Sample questions, Video Lectures, Interview Questions (Technical and HR), and Projects.
  • The ability to retake the class at no-charge as often as desired.
  • Payment options: Cash, Cheque, Credit Card, Net Banking, Debit card

COURSE CROWN Trainer’s Profile for Hadoop Training in Noida

  • COURSE CROWN’S Hadoop Trainers are:
  • Are truthfully expert and fully up-to-date in the subjects they teach because they continue to spend time working on real-world business applications.
  • Have received awards and recognition from our partners and a variety of recognized IT Organizations.
  • Are working professional working in multinational companies such as HCL Technologies, Birlasoft, TCS, Sapient, IBM, Accenture etc.
  • Are Well connected with Hiring HRs in multinational companies.
  • Are certified Professionals with 7+ years of experience.
Placement Assistance after Hadoop Training in Noida

COURSE CROWN’S Placement Assistance

  • COURSE CROWN is the head in offering placement to the students, as it has a devoted placement wing which cater to the needs of the students through placements.
  • COURSE CROWN helps the students in the development of their RESUME as per present industry standards.
  • COURSE CROWN conducts character Development sessions including Spoken English, Group Discussions, Mock Interviews, appearance skills to prepare students to face demanding interview situation with easiness.
  • COURSE CROWN has prepared its students to find placed in top IT FIRMS like TCS, HCL, Infosys, Wipro, Accenture and much more.
COURSE CROWN Course duration for Hadoop Training in Noida
  • Regular Classes (Morning, Day time & Evening)
  • Fast Track Training Program (6+ hours daily)
  • Weekend Training Classes (Saturday, Sunday & Holidays)

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