Recommended Courses for +2 Appeared Students Learn More

Big Data Hadoop Training in Nepal

Big Data Hadoop Training in Nepal

Big Data Hadoop Training in Nepal

Big Data Hadoop Training in Kathmandu, Nepal

Mode: Physical & Online Live Classes (Day/Night)
Successful student from Broadway Infosys Mr. Manoj Moktan
Successful student from Broadway Infosys Mr. Sanish Joshi
Successful student from Broadway Infosys Mr. Ashish Sunuwar
Successful student from Broadway Infosys Ms. Suprama Thapa

Thousands of students have started their careers after getting certified by Broadway Infosys

Updated On: 04/2026

Created On: 10/2017

Course Overview

Broadway Infosys is proud to be the pioneer of Big Data and Hadoop training in Nepal.

Big Data is best described as any voluminous amount of unstructured, structured or semi structured data with the potential to be mined. And, Hadoop manages storage and data processing for big data apps.

We have designed Big Data and Hadoop training course in Nepal keeping in mind the demand for Hadoop experts/data analysts for big data processing in banking, online businesses, telecommunication and other sectors in Nepal and the international market.  

Benefits of Big Data Hadoop

Big data and Hadoop training offer several benefits to IT professionals seeking to enhance their careers in data analysis and management. Some of the key benefits include:

  • Big career opportunity in the IT field.
  • High-paying jobs in Data analysis, storage, and processing.
  • There is a high demand for skilled professionals in big data and Hadoop.
  • Drastically improves the portfolio of IT students and professionals.

Benefits of Big Data Hadoop at Broadway Infosys

  • Experienced Big Data and Hadoop professionals as instructors.
  • Well-equipped labs for training classes.
  • We use real-world data sets for our regular practical classes.
  • Mockup Hadoop certification tests to prepare trainees for the real one.
  • Cost-effective prices and special discounts for needy or deserving students.
  • Internship and job placement opportunities as a data analyst.

Success Stories From our Graduates

Hear from graduates who have completed our courses.

view all success stories
Successful student from Broadway Infosys Mr. Manoj Moktan
Mr. Manoj Moktan
Course: Python & Django Training

College/Faculty: Nami College / BSc. Hons(Network Engineering)

Working At: Code Himalaya Pvt.Ltd

Position: Junior Python Developer

Successful student from Broadway Infosys Mr. Sanish Joshi
Mr. Sanish Joshi
Course: Graphics Design

College/Faculty: College of Information Technology and Engineering / Bachelor in Information Technology

Working At: Nepal Can Move

Position: Graphics Design Intern

Successful student from Broadway Infosys Mr. Ashish Sunuwar
Mr. Ashish Sunuwar
Course: Digital Marketing 360° Training

College/Faculty: Madan Bhandari Memorial College / BBM

Working At: Global Studio Pvt. Ltd.

Position: Junior Digital Marketing Officer

Successful student from Broadway Infosys Ms. Suprama Thapa
Ms. Suprama Thapa
Course: Graphics Design

College/Faculty: Nepal Commerce Campus / Bachelor of Information Management

Working At: Brahmabyte Lab

Position: Graphics Design Intern

Our graduates are hired by 470+ companies in Nepal

Time for you to be the next hire. With our advanced and industry relevant courses, you are on the right stage to start your dream career.
Find a Role
Our graduates are hired by

Related Courses

Students who viewed Big Data Hadoop course have also shown interest in these courses.

view all courses
Python & Django Training
2.5 Months
13 upcoming classes
Oracle Training
2.5 Months
6 upcoming classes
SQL Server Training
21 Days

Our syllabus outlines are only the headlines of the major modules. To ensure a complete understanding of the course, we offer free counseling. Also, if you have specific modules in mind, you can customize the course. Send your inquiry today!

  • What is Big Data?
  • Challenges for processing big data?
  • Technologies support big data?
  • What is Hadoop?
  • Why Hadoop?
  • Hadoop History
  • Use cases of Hadoop
  • RDBMS vs Hadoop
  • When to use and when not to use Hadoop
  • Hadoop Ecosystem
  • Vendor comparison
  • Hardware Recommendations & Statistics

HDFS: Hadoop Distributed File System: 12 Hrs

– Significance of HDFS in Hadoop

  • Features of HDFS
  • 5 daemons of Hadoop
    • Name Node and its functionality
    • Data Node and its functionality
    • Secondary Name Node and its functionality
    • Job Tracker and its functionality
    • Task Tracker and its functionality
  • Data Storage in HDFS
    • Introduction about Blocks
    • Data replication
  • Accessing HDFS
    • CLI (Command Line Interface) and admin commands
    • Java Based Approach
  • Fault tolerance
  • Download Hadoop
  • Installation and set-up of Hadoop
    • Start-up & Shut down process
  • HDFS Federation

  • Map Reduce history
  • Architecture of Map Reduce
  • Working mechanism
  • Developing Map Reduce
  • Map Reduce Programming Model
    • Different phases of Map Reduce Algorithm.
    • Different Data types in Map Reduce.
    • Writing a basic Map Reduce Program.
    • Driver Code
    • Mappers
    • Reducer
  • Creating Input and Output Formats in Map Reduce Jobs
    • Text Input Format
    • Key Value Input Format
    • Sequence File Input Format
    • Data localization in Map Reduce
    • Combiner (Mini Reducer) and Partitioner
    • Hadoop I/O
    • Distributed cache

  • Introduction to Apache Pig
  • Map Reduce Vs. Apache Pig
  • SQL vs. Apache Pig
  • Different data types in Pig
  • Modes of Execution in Pig
  • Grunt shell
  • Loading data
  • Exploring Pig
  • Latin commands

  • Architecture and schema design
  • HBase vs. RDBMS
  • HMaster and Region Servers
  • Column Families and Regions
  • Write pipeline
  • Read pipeline
  • HBase commands

 

OOZIE 9Hrs

SQOOP 8Hrs

Flume 10 Hrs

 

Earn a High Value Industry Certificate

Add this credential to your LinkedIn profile, resume, or CV to stand out to recruiters.

Already earned a certificate? Verify it here
Quick Inquiry

Choose class schedule(s)