Hadoop Course

5/5

Infibee Technologies provides India’s No.1 Hadoop Training with global certification and 100% placement Support.

Kickstart your career in the Hadoop Course guided by 12+ years of industry-experienced trainers, affordable Hadoop Course fees,  includes hands-on mock projects, resume preparation, interview preparation, and dedicated placement training. Learners also benefit from lifetime access to recorded sessions of live classes, ensuring continuous learning and revision at their convenience.

Join our Hadoop Training Institute and ignite your career with opportunities for high-paying jobs in top companies.

Live Online :

25 hrs of E-Learning Videos
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Hadoop Course Overview

Infibee’s Hadoop Course provides students with comprehensive training about big data processing and distributed computing and scalable data solutions. This course offers the ideal combination of academic theories and practical work experience for students who want to find Hadoop training programs and reliable Hadoop training institutes at their location. The organizations use Hadoop as their primary framework because it enables them to handle and study extensive data sets which creates a high demand for this skill in the current data-centric environment.

The Hadoop Training Institute teaches students and working professionals and career changers to develop advanced skills in Hadoop ecosystem tools which include HDFS and MapReduce and Hive and Spark and additional technologies. The expert trainers deliver educational content to learners through real-time projects and case studies and mock assignments which enable students to gain practical knowledge of the subject matter.

Infibee provides both physical classroom instruction and online educational programs to students who want to learn about Hadoop through their preferred learning method.

About Hadoop Training Course

The Hadoop Training teaches essential concepts through its instruction of distributed storage, which uses HDFS, and its teaching of data processing with MapReduce and its instruction of querying through Hive and its data ingestion training with Sqoop and Flume and its real-time analytics instruction using Spark. The curriculum is designed to match current industry standards and job requirements.

Hadoop Course Topics Covered Applications of Hadoop Training Tools Used
Hadoop Architecture & HDFS Big Data Analytics Hadoop
MapReduce Programming Data Warehousing Hive
Hive & Pig Log Processing Pig
Apache Spark Real-Time Data Processing Spark
Sqoop & Flume Data Migration Sqoop
YARN Resource Management Machine Learning Flume

Why Choose Infibee Technologies for a Hadoop Course?

Choosing the right Hadoop Training Institute is essential for career growth. Infibee Technologies stands out as a top provider of Hadoop Classes due to its industry-oriented curriculum and expert trainers.

Key Highlights:

  • 12+ Years of Industry Expert Trainers
  • 100% Placement Guidance
  • Real-Time Projects & Case Studies
  • Resume & Interview Preparation
  • Affordable Fees Structure
  • Lifetime Access to Recorded Sessions
  • Flexible Learning Modes (Online/Classroom)
  • Hands-on Practical Training

Best Hadoop Training Institute – Get Certified with Infibee Technologies

Infibee Technologies has earned recognition as the leading Hadoop Training Institute in India through its complete learning programs which meet industry requirements. Students who want to learn Hadoop can find training programs at Infibee which offer both classroom and online learning throughout major Indian cities. The institute delivers practical knowledge through its live projects which allow students to develop their ability to manage real-world big data challenges.

Infibee offers strong placement assistance which enables students to connect with top MNC companies. The school provides students with dedicated placement training which includes mock interviews and resume-building sessions so they can become job-ready. The trainers who work at this institution use their industry expertise to provide students with effective learning experiences.

Certification Providing

The Hadoop Course certification provides students with global recognition of their big data technology expertise after they complete the program. The certification demonstrates practical skills of Hadoop tools and ecosystem components which improves job prospects for applicants.

Our Alumni Work At:

TCS, Infosys, Wipro, Accenture, Capgemini, Cognizant

Modes of Hadoop Course Training:

  • Classroom Training
  • Online Instructor-Led Training
  • Corporate Training

Global Hadoop Certifications with Cost

S.No Certification Code Cost (INR) Expiry
1 Cloudera CCA175 ₹20,000 2 Years
2 Cloudera CCP Data Engineer ₹30,000 2 Years
3 Hortonworks HDPCA ₹18,000 2 Years
4 AWS Big Data Specialty ₹25,000 3 Years
5 Google Professional Data Engineer ₹20,000 2 Years

Benefits of Learning Hadoop Training

  • High demand in Big Data industry
  • Attractive salary packages
  • Scalable and future-proof technology
  • Opens opportunities in Data Science & Analytics
  • Hands-on experience with real-time datasets
  • Global career opportunities
  • Enhances problem-solving skills

Who Can Join?

  • Fresh Graduates (B.Tech, B.Sc, BCA, MCA)
  • IT Professionals
  • Data Analysts & Developers
  • Career Switchers
  • Anyone interested in Big Data Technologies

Career Opportunities in Hadoop Course

Level Job Role Salary (LPA)
Freshers (0–3 yrs) Hadoop Developer Trainee 3–5 LPA
Junior Big Data Engineer 4–6 LPA
Data Analyst (Hadoop) 4–6 LPA
Mid-Level (4–8 yrs) Hadoop Developer 6–10 LPA
Big Data Engineer 8–12 LPA
Data Engineer 8–12 LPA
Senior (9+ yrs) Senior Big Data Architect 15–25 LPA
Hadoop Consultant 18–30 LPA
Specialized Roles Spark Developer 10–18 LPA
Big Data Architect 15–30 LPA

Who’s Hiring Hadoop Professionals?

  • TCS
  • Infosys
  • Wipro
  • Accenture
  • Cognizant
  • Capgemini
  • HCL Technologies

Can I Study Hadoop Course in Other Locations?

Yes! Infibee Technologies offers Hadoop Training across major cities through online mode including:

With expert mentors, practical training, and placement support, Infibee Technologies remains the No.1 choice for Hadoop Online Course across India.

How to Register for the Hadoop Course at Infibee Technologies?

Step 1: Register for a Free Demo
Visit our website and fill out the inquiry form. Attend a free demo session to understand our Hadoop Classes and training approach.

Step 2: Select Your Training Mode
Choose between classroom, online, or corporate Hadoop Training. Select a batch timing that suits your schedule.

Step 3: Start Your Hadoop Journey
Begin your Hadoop Course with expert trainers. Work on real-time projects and prepare for certification and job placement.

Enroll Today: Unlock Your Hadoop Training Potential!

Take the first step towards a successful Big Data career with Infibee Technologies. Whether you are searching for Hadoop Training Near Me, Hadoop Course Near Me, or the best Hadoop Training Institute, we provide everything you need to succeed. Join today and unlock high-paying career opportunities in top companies!

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Why People Choose Infibee ?

Upcoming Hadoop Batches

04-05-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
29-04-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
01-05-2026
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Hadoop Course Syllabus

Begin your journey into the world of big data with our Hadoop Course! Covering essential topics such as Hadoop Distributed File System (HDFS), MapReduce programming paradigm, and Hadoop ecosystem components like HBase, Hive, Pig, and Spark, this course is designed to equip you with the foundational knowledge and practical skills needed to excel in the field of big data analytics.

  • High Availability
  • Scaling
  • Advantages and Challenges 
  • What is Big data?
  • Big Data Opportunities and Challenges
  • Characteristics of Big data 
  • Hadoop Distributed File System
  • Comparing Hadoop & SQL
  • Industries using Hadoop
  • Data Locality
  • Hadoop Architecture
  • Map Reduce & HDFS
  • Using the Hadoop single node image (Clone),
  • HDFS Design & Concepts
  • Blocks, Name nodes and Data nodes
  • HDFS High-Availability and HDFS Federation
  • Hadoop DFS: The Command-Line Interface
  • Basic File System Operations
  • Anatomy of File Read, File Write
  • Block Placement Policy and Modes
  • more detailed explanation about Configuration files
  • Metadata, FS image, Edit log, Secondary Name Node and Safe Mode
  • How to add a new Node dynamically and decommission a Data Node dynamically (Without stopping cluster)
  • FSCK Utility. (Block report)
  • How to override default configuration at system and Programming level
  • HDFS Federation
  • ZOOKEEPER Leader Election Algorithm
  • Exercise and small-use case on HDFS
  • Map-Reduce Functional Programming Basics
  • Map and Reduce Basics
  • How Map Reduce Works
  • Anatomy of a Map Reduce Job Run
  • Legacy Architecture: ->Job Submission, Job Initialization, Task Assignment, Task Execution, Progress and Status Updates
  • Job Completion and Failures
  • Shuffling and Sorting
  • Splits, Record reader, Partition, Types of partitions & Combiner
  • Optimisation Techniques: Speculative Execution, JVM Reuse and No. Slots
  • Types of Schedulers and Counters
  • Comparisons between Old and New API at code and Architecture Level
  • Getting the data from RDBMS into HDFS using Custom data types
  • Distributed Cache and Hadoop Streaming (Python, Ruby and R)
  • YARN
  • Sequential Files and Map Files
  • Enabling Compression Codec’s
  • Map side Join with distributed Cache
  • Types of I/O Formats: Multiple outputs, NLINE Input Format
  • Handling small files using CombineFileInputFormat
  • Hands on “Word Count” in Map Reduce in standalone and pseudo-distribution Mode
  • Sorting files using Hadoop Configuration API discussion
  • Emulating “grep” for searching inside a file in Hadoop
  • DBInput Format
  • Job Dependency API discussion
  • Input Format API discussion, Split API discussion
  • Custom Data type creation in Hadoop
  • ACID in RDBMS and BASE in NoSQL
  • CAP Theorem and Types of Consistency
  • Types of NoSQL Databases in detail
  • Columnar Databases in Detail (HBASE and CASSANDRA)
  • TTL, Bloom Filters and Compensation
  • HBase Installation and Concepts
  • HBase Data Model and Comparison between RDBMS and NOSQL
  • Master  & Region Servers
  • HBase Operations (DDL and DML) through Shell, Programming and HBase Architecture
  • Catalogue Tables
  • Block Cache and sharding
  • SPLITS
  • DATA Modelling (Sequential, Salted, Promoted and Random Keys)
  • JAVA API’s and Rest Interface
  • Client-side buffering and processing 1 million records using client-side Buffering
  • HBase Counters
  • Enabling Replication and HBase RAW Scans
  • HBase Filters
  • Bulk Loading and Co processors (Endpoints and Observers with Programmes)
  • Real-world use cases consisting of HDFS, MR and HBASE
  • Hive Installation, Introduction and Architecture
  • Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
  • Meta store, Hive QL
  • OLTP vs. OLAP
  • Working with Tables
  • Primitive data types and complex data types
  • Working with Partitions
  • User-Defined Functions
  • Hive-bucketed tables and Sampling
  • External partitioned tables, Map the data to the partition in the table, Writing the output of one query to another table, Multiple inserts
  • Dynamic Partition
  • Differences between ORDER BY, DISTRIBUTE BY and SORT BY
  • Bucketing and Sorted Bucketing with Dynamic partition
  • RC File
  • INDEXES and VIEWS
  • MAPSIDE JOINS
  • Compression on hive tables and Migrating Hive tables
  • Dynamic substation of Hive and Different ways of running Hive
  • How to enable Update in HIVE
  • Log Analysis on Hive
  • Access HBASE tables using Hive
  • Hands-on Exercises
  • Pig Installation
  • Execution Types
  • Grunt Shell
  • Pig Latin
  • Data Processing
  • Schema on read
  • Primitive data types and complex data types
  • Tuple schema, BAG Schema and MAP Schema
  • Loading and Storing
  • Filtering, Grouping and Joining
  • Debugging commands (Illustrate and Explain)
  • Validations and type casting in PIG
  • Working with Functions
  • User-Defined Functions
  • Types of JOINS in pig and Replicated Joins in detail
  • SPLITS and Multiquery execution
  • Error Handling, FLATTEN and ORDER BY
  • Parameter Substitution
  • Nested For Each
  • User-Defined Functions, Dynamic Invokers and Macros
  • How to access HBASE using PIG Load and Write JSON DATA using PIG
  • Piggy Bank
  • Hands-on Exercises
  • Sqoop Installation
  • Import Data.(Full table, Only Subset, Target Directory, protecting Password, file format other than CSV, Compressing, Control Parallelism,  All tables Import)
  • Incremental Import (Import only New data, Last Imported data, storing Password in Metastore, Sharing Metastore between Sqoop Clients)
  • Free Form Query Import
  • Export data to RDBMS, HIVE and HBASE
  • Hands-on Exercises
  • HCatalog Installation
  • Introduction to HCatalog
  • About Hcatalog with PIG, HIVE and MR
  • Hands-on Exercises
  • Flume Installation
  • Introduction to Flume
  • Flume Agents: Sources, Channels and Sinks
  • Log User information using Java programme in to HDFS using LOG4J, Avro Source, and Tail Source
  • Log User information using Java programme in to HBASE using LOG4J, Avro Source, and Tail Source
  • Flume Commands
  • Use case of Flume: Flume the data from twitter in to HDFS and HBASE. Do some analysis using HIVE and PIG
  • Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles. to show how to schedule Sqoop Job, Hive, MR and PIG
  • Real-world Use case, which will find the top websites used by users of certain ages and will be scheduled to run for every hour
  • Zoo Keeper
  • HBASE Integration with HIVE and PIG
  • Phoenix
  • Proof of concept (POC)
  • Spark Overview
  • Linking with Spark, Initialising Spark
  • Using the Shell
  • Resilient Distributed Datasets (RDDs)
  • Parallelized Collections
  • External Datasets
  • RDD Operations
  • Basics: Passing Functions to Spark
  • Working with Key-Value Pairs
  • Transformations
  • Actions
  • RDD Persistence
  • Which Storage Level should Choose?
  • Removing Data
  • Shared Variables
  • Broadcast Variables
  • Accumulators
  • Deploying to a Cluster
  • Unit Testing
  • Migrating from pre-1.0 Versions of Spark
  • Where to Go from Here
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On AWS Projects

Enroll in our Hadoop Training, designed to offer top-tier instruction with a robust grounding in fundamental principles coupled with a hands-on approach. By immersing yourself in contemporary industry applications and scenarios, you will refine your abilities and acquire the proficiency to undertake real-world projects employing industry best practices.

Designing a Hadoop Architecture

By developing this Hadoop project, you will gain an understanding of the fundamentals of Hadoop architecture. You will discover how to retrieve the top 15 queries created over the previous 12 hours if you consider the scenario where a web server generates a log file containing a time label and question.

Handling small files using Hadoop

Large file management was a major design principle of Hadoop's Distributed File System (HDFS), as you would know if you had studied its architecture in detail. Reading through small files is a difficult process for HDFS since it requires a lot of searches and many trips between data nodes.

Million Song Dataset Challenge

This is a well-known Kaggle competition to assess a recommendation system for music. The Million Song Dataset, made available by Columbia University's Lab for Recognition and Organisation of Speech and Audio, will be used by users. The dataset includes audio elements and metadata for one million popular and contemporary songs.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
Our Instructor
Name
Mr. Seetha Mahadevan
Experience
6+ Years
Specialized in
Statistical Analysis,Machine Learning,Data Wrangling,Data VisualizationBig Data Technologies, Powe BI, Hadoop, Tablue
More Details
Seetha Mahadevan is a experienced Data Science instructor with extensive industry experience. With a background in data analytics and machine learning, Seetha brings practical insights and expertise to her training sessions. Her engaging teaching style and real-world examples make complex data science concepts accessible to learners.

Hadoop Course Training Objectives

The Hadoop Training is designed to equip participants with comprehensive skills and practical expertise in the field of big data analytics. The objectives of this training include mastering core Hadoop concepts, applying acquired skills through hands-on projects, fostering critical thinking abilities, and preparing participants to tackle professional challenges effectively.

The objectives of the Hadoop training programme are:

  1. Master core Hadoop concepts.
  2. Apply skills through hands-on projects.
  3. Develop critical thinking in Hadoop applications.
  4. Prepare for professional challenges.
  5. Enhance career prospects in tech.

The course provides learners with practical information and the ability to handle real-world Hadoop issues. This skill improves their career chances by giving them a competitive advantage in the job market and helping with career advancement in the big data area.

The emphasis on real-world projects in the Hadoop training programme is crucial for providing participants with practical experience in applying Hadoop concepts to authentic scenarios. Through hands-on projects, participants gain invaluable exposure to industry-relevant challenges and develop the skills needed to address them effectively. This approach ensures that participants are well-prepared to tackle real-world Hadoop implementations and excel in their professional careers.

The Hadoop training programme is designed to accommodate participants with varying levels of experience. While prior knowledge of programming languages such as Java or Python and familiarity with basic concepts of data management may be beneficial, it is not mandatory. The training programme is structured to cater to beginners as well as experienced professionals looking to enhance their skills in big data analytics using Hadoop.

Throughout the Hadoop training programme, participants will have access to a variety of learning resources and support mechanisms to facilitate their learning journey. These resources may include comprehensive course materials, interactive lectures, hands-on labs, and real-world projects. Additionally, participants will receive guidance and mentorship from experienced trainers who are experts in the fields of big data analytics and Hadoop. Furthermore, regular assessments, feedback sessions, and dedicated support channels will be available to ensure participants receive the assistance they need to succeed in the programme.

1. Enhanced Employability: Acquiring Hadoop skills boosts your appeal to employers seeking Big Data expertise.
2. Lucrative Opportunities: Opens doors to high-paying roles like big data engineer and Hadoop developer.
3. Practical Experience: Gain hands-on experience tackling real-world data challenges.
4. Professional Growth: Mastering Hadoop concepts fast-tracks career advancement.
5. Industry Relevance: Stay abreast of the latest trends, ensuring long-term career viability in tech.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

Hadoop Career Opportunity

Hadoop is a widely used big data framework that operates seamlessly across various computing platforms, from computers to mobile devices, without requiring frequent upgrades. It stands as one of the best career paths in the software development sector, with an average annual salary of 10 LPA.

Annual Pay Scale
Placement Designation
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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I joined Infibee in order to take a Data Science Course. Being from a non-IT background, I believe that being an IT Professional will be difficult for me. But now I believe that joining Infibee is the best decision I've ever made. My overall experience has been excellent. The teaching and non-teaching staff are both excellent. I will never forget the experience I had with Infibee. Thank you for your help and support, Infibee.
Muthu krishnan
I graduated without an IT background, but Infibee has helped me advance my career as a data scientist. Here, mentors are very helpful. With the right guidance and dedication, you can achieve your dreams. Self-study is also crucial if you want to stand out from the crowd and seize your opportunities.Companies frequently visit Infibee for placements and take some incredible talent with them.
Pranali
I enrolled in Infibee's PG Data Science course. The training experience was excellent, with 80% practical training and 20% theory, which was extremely beneficial. I learned a great deal. My placement process began after I completed my course, and I am now working as an RPA and Data Science Intern at rsutra. Nisha Mam was extremely helpful during the placement process.
Yuvaraj
The courses on Infibee are excellent. It has great value. I was non IT person and joined for Data Science course it was really helpful and interesting learning with Infibee. Teachers are also incredible they did an excellent job of ensuring that we understood each concept. Excellent job setting up the mock test and interview. I enjoyed finding more skill out of me from Infibee.I appreciate Infibee's assistance in advancing my career.
Lavanya
I completed Full Stack Development Course at infibee. Infibee is the best training institute. My trainer taught us the best concepts out there. His teaching skills are great. They are having lots of knowledge. The way of teaching is also good. I am satisfied with the course. Glad to have found this institute.
Madhaiyan Madhan

Hadoop Training FAQ's

Infibee Hadoop Training offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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