Hadoop Training in Noida

5/5

Infibee Technologies offers India’s No.1 Hadoop Training in Noida with global certification & 100% Placement Guidance.

KickStart your career in Hadoop Course in Noida with the support of 12+ years of industry-experienced experts who provide practical and real-time big data learning. This Hadoop Training in Noida offers affordable fees together with practical mock projects, resume development, interview coaching and complete job training to make you employment ready. You will also gain lifetime access to recorded sessions of live classes which enable you to learn at your own pace while enhancing your skills whenever you choose.

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

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25 hrs of E-Learning Videos
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Hadoop Course in Noida Overview

Begin your career with Infibee Technologies’ industry-oriented Hadoop Training in Noida designed for students, freshers, data engineers, analysts, and IT experts who want to build expertise in Big Data technologies. The complete Hadoop Course In Noida provides students with knowledge about distributed systems and methods for storing and processing data and established Big Data analysis techniques which modern businesses apply.

Infibee Technologies provides practical Hadoop Certification Training in Noida with expert trainers having 12+ years of industry experience in Big Data and analytics solutions. Students gain practical exposure to Hadoop Distributed File System (HDFS) MapReduce Hive Pig Sqoop Spark and YARN. Our Hadoop Course in Noida curriculum is aligned with current industry standards to help learners become job-ready Big Data professionals.

About Hadoop Certification Training in Noida

This Hadoop Certification Course In Noida teaches HDFS MapReduce Hive Pig Spark Sqoop and YARN. Students acquire knowledge about Big Data processing, cluster management, data analytics and distributed computing methods. Through live Big Data projects and case studies students obtain practical experience. Our Hadoop Training In Noida uses hands-on assignments and project-based learning as its educational method.

Hadoop Topics Covered Applications of Hadoop Tools Used
HDFS Architecture Big Data Analytics Hadoop
MapReduce Data Processing Apache Spark
Hive & Pig Business Intelligence Hive
Sqoop & Flume Data Migration Pig
Apache Spark Real-Time Analytics Sqoop
YARN & Cluster Management Cloud Computing Flume
Data Ingestion & Processing Enterprise Data Management HBase

Why Choose Infibee Technologies for Hadoop Training in Noida?

  • Industry-expert trainers with real-time experience
  • 100% placement assistance and interview preparation
  • Affordable Hadoop training fees
  • Hands-on Big Data projects and assignments
  • Flexible weekday and weekend batches
  • Lifetime access to recorded sessions
  • Resume preparation and mock interviews
  • Real-time Big Data analytics exposure
  • Practical cluster and data processing training
  • Online and classroom training options available

Best Hadoop Institute – Get Certified with Infibee Technologies

Located at the heart of Noida, Infibee Technologies is recognized as India’s Best Hadoop Training Institute in Noida offering advanced Hadoop Certification Training courses tailored to modern Big Data industry requirements. This Hadoop Course In Noida offers its curriculum to students software developers data engineers analysts and IT professionals who wish to achieve successful outcomes in Big Data analytics and distributed computing.

This Hadoop Training in Noida at Infibee Technologies has a team of highly experienced trainers who have worked with top IT organizations and Big Data environments. Through their industry experience students gain practical understanding of Hadoop architecture and performance optimization and data processing techniques and real-world analytics execution methods. The placement support system offers students at Infibee Technologies the most significant benefit during their Hadoop Certification Course in Noida.

Infibee Technologies offers affordable Hadoop Course fees combined with various training options and practical experience through live projects and their certification course which helps students achieve international validation making them the top choice for students who search for Hadoop Course near me and Hadoop Training near me. Our placement team works to connect students with top IT companies and analytics organizations throughout the industry.

Certification Providing

Infibee Technologies awards its Hadoop Certification In Noida to students who complete the course successfully. The certification demonstrates your proficiency with Hadoop ecosystem tools, HDFS, MapReduce, Spark, Hive, Pig, data analytics and distributed computing concepts. The Big Data analytics and cloud computing fields provide you with better professional opportunities because the certification boosts your professional reputation.

Alumni Hired by Top MNC Companies

  • TCS
  • Infosys
  • Wipro
  • Accenture
  • Capgemini
  • Cognizant
  • IBM
  • HCL Technologies
  • Tech Mahindra
  • Deloitte

Modes of Hadoop Training at Infibee Technologies

  • Classroom Training
  • Online Instructor-Led Training
  • Corporate Training
  • Self-Paced Learning
  • Weekend Fast-Track Training

Global Certifications Available for Hadoop Training in Noida

S.No Certification Code Cost (INR) Certification Expiry
1 HDP-001 ₹15,000 3 Years
2 BIGDATA-002 ₹18,000 3 Years
3 HDFS-003 ₹20,000 3 Years
4 SPARK-004 ₹22,000 2 Years
5 DATAENG-005 ₹25,000 2 Years

Benefits of Learning Hadoop Training in Noida

  • High demand for Big Data professionals
  • Strong career opportunities in analytics industries
  • Practical exposure through live projects
  • Expertise in distributed computing
  • Better understanding of data analytics techniques
  • Opportunities in top MNC companies
  • Hands-on experience with Hadoop ecosystem tools
  • Improved data processing and management skills
  • Industry-recognized Hadoop Certification
  • Competitive salary packages

What You’ll Learn

  • Hadoop Fundamentals
  • HDFS Architecture
  • MapReduce Programming
  • Hive and Pig Concepts
  • Apache Spark Processing
  • Data Ingestion Techniques
  • Cluster Management
  • Big Data Analytics
  • Real-Time Data Processing

Who Can Join?

  • Students and Fresh Graduates
  • Software Developers
  • Data Analysts
  • Database Professionals
  • IT Professionals
  • Cloud Computing Enthusiasts
  • Big Data Aspirants
  • Career Switchers

Career Opportunities in Hadoop Training in Noida

Experience Level Job Role Salary (LPA)
Freshers / Junior (0–3 Years) Junior Hadoop Developer 3–5 LPA
Big Data Support Engineer 4–5.5 LPA
Hadoop Analyst Trainee 4–6 LPA
Mid-Level (4–8 Years) Hadoop Developer 6–10 LPA
Big Data Engineer 8–14 LPA
Spark Developer 8–15 LPA
Data Processing Specialist 8–16 LPA
Senior / Experienced (9+ Years) Senior Big Data Architect 15–25 LPA
Enterprise Data Engineer 18–30 LPA
Big Data Solution Architect 20–35 LPA
Specialized Roles Hadoop Performance Specialist 10–18 LPA
Cloud Data Engineer 12–20 LPA
Big Data Analytics Expert 15–22 LPA

Who’s Hiring Hadoop Professionals?

  • TCS
  • Infosys
  • Wipro
  • Accenture
  • Capgemini
  • Cognizant
  • IBM
  • HCL Technologies
  • Tech Mahindra
  • Deloitte

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 aspirants across India.

How to Register for Hadoop at Infibee Technologies?

Step 1: Register for a Free Demo

Go to our website and submit the inquiry form. Participate in a free demo session to learn about our training methodology.

Step 2: Select Your Training Mode

Choose between classroom, online, or corporate training. Confirm your batch timing and convenience.

Step 3: Start Your Hadoop Journey

Begin learning with expert instructors. Work on real projects and get ready for Hadoop Certification with practical Big Data analytics experience.

Enroll Today: Unlock Your Hadoop Training in Noida Potential!

Take the next step in your career with the best Hadoop Training in Noida Institute. Whether you are searching for Hadoop Training, Hadoop Course, Hadoop Course near me, Hadoop Training near me, affordable Hadoop course fees, Hadoop training fees, or industry-recognized Hadoop Certification, Infibee Technologies provides everything needed to build a successful career in Big Data analytics and distributed computing.

Join today and become certified with the most trusted Hadoop Training in Noida!

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Upcoming Hadoop Batches In Noida

25-05-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
20-05-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
22-05-2026
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 In Noida

Begin on your journey into the world of Big Data with our comprehensive Hadoop Course in Noida! Covering essential topics such as Hadoop Distributed File System (HDFS), MapReduce programming paradigm, 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 thrive in the field of Big Data analytics.

  • High Availability
  • Scaling
  • Advantages and Challenges 
  • What is Big data
  • Big Data opportunities,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 New Data Node dynamically,decommission a Data Node dynamically (Without stopping cluster)
  • FSCK Utility. (Block report)
  • How to override default configuration at system level 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, Failures
  • Shuffling and Sorting
  • Splits, Record reader, Partition, Types of partitions & Combiner
  • Optimization 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, NLINEinputformat
  • 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, Concepts
  • HBase Data Model and Comparison between RDBMS and NOSQL
  • Master  & Region Servers
  • HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
  • Catalog Tables
  • Block Cache and sharding
  • SPLITS
  • DATA Modeling (Sequential, Salted, Promoted and Random Keys)
  • JAVA API’s and Rest Interface
  • Client Side Buffering and Process 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 programs)
  • Real world use case 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,Type casting in PIG
  • Working with Functions
  • User Defined Functions
  • Types of JOINS in pig and Replicated Join 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 program in to HDFS using LOG4J and Avro Source, Tail Source
  • Log User information using Java program in to HBASE using LOG4J and Avro Source, 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 one hour
  • Zoo Keeper
  • HBASE Integration with HIVE and PIG
  • Phoenix
  • Proof of concept (POC)
  • Spark Overview
  • Linking with Spark, Initializing 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 to 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 in Noida, 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 in Noida is designed to equip participants with comprehensive skills and practical expertise in the field of Big Data analytics. The objectives of this training program include mastering core Hadoop concepts, applying acquired skills through hands-on projects, fostering critical thinking abilities, and preparing participants to tackle professional challenges effectively. This training not only enhances career development but also contributes to advancements in the industry by nurturing skilled professionals capable of addressing the complexities of Big Data analytics.

The objectives of the Hadoop training programme in Noida 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 most lucrative career paths in the software development sector, with Hadoop-certified professionals commanding 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 In Noida 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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