Hadoop Training in Delhi

5/5

Infibee Technologies offers India’s No.1 Hadoop Training in Delhi with global certifications and placement guidance.

Kickstart your Career in Hadoop Course in Delhi with 10+ Industry Experts. Benefit from Affordable fees, online mock projects, chances for building your resume, interview preparation, placement orientation, and lifetime access to recordings of the live sessions. Besides the core Hadoop Training in Delhi, typical applications using Hadoop softwares such as big data analytics, data processing, and enterprise-level data management are also taught.

Join Hadoop Training in Delhi & Light-Up Your Hadoop Career with High Salaries in Top Brands.

Live Online :

25 hrs of E-Learning Videos
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Hadoop Online Course Overview

KickStart your career with Hadoop Training in Delhi at Infibee Technologies. Learn the most powerful big data platform and gain factory-hand experience in managing large datasets, analytics, and enterprise data processing. Our Hadoop Course in Delhi is intended for either beginners or professionals who want to accelerate their data careers.

Our Hadoop Training in Delhi offers practical-oriented training. Students learn about the components of the Hadoop ecosystem and real-time big data processing along with Hadoop tools. This course prepares the learners for large dataset handling, analysis, and industrial engagement.

Hadoop Course Topics Covered Applications of Hadoop Course Tools Used
Hadoop Architecture & HDFS Big Data Analytics Hadoop Distributed File System (HDFS)
MapReduce Programming Data Warehousing Hive
HBase & NoSQL Databases Social Media Analysis Pig
Hive & Sqoop E-commerce & Retail Analytics Flume
Spark & Yarn Finance & Banking Spark
Hadoop Cluster Setup & Administration Healthcare Data Management Oozie
Data Ingestion & ETL Processes IoT Data Processing Kafka

Why Choose Infibee Technologies for Hadoop Course In Delhi?

Infibee Technologies offers industry-aligned Hadoop Training in Delhi with hands-on practical exposure. Our instructors have 10+ years of experience in big data and ensure students gain real-world skills.

Key Highlights:

  • Live projects and practical exercises

  • Industry-recognized curriculum

  • Flexible online and classroom training

  • 100% placement guidance

  • Lifetime access to recorded sessions

Best Hadoop In Delhi – Get Certified with Infibee Technologies

The office of Infibee Technologies is situated in the central region of Delhi; thus, it provides premier Hadoop training in Delhi. The courses aim to bridge the gap between academics and industry requirements. Students learning are exposed to real-time Hadoop projects. They learn to work with ingestion, storage, and analytics on big data. There is a focus on MapReduce, Hive, Pig, HBase, and Spark, along with tools like Flume, Kafka, and Oozie.

This training would make a candidate confident in solving enterprise data-level problems and prepare them for Hadoop jobs in great demand. With expert trainers, interactive sessions, and a career-oriented approach by the trainers, prospects for students seem bright as they will be able to grow rapidly in the big data domain.

Certification

Students are certified internationally by Infibee Technologies for being proficient in big data analytic concepts, Hadoop ecosystem, and real-time data processing; wherein the certification improves their resume to stand out in the crowd against other candidates and opens the gate to top MNCs.

Our alumni have secured positions in top MNC companies such as TCS, Infosys, Wipro, Cognizant, and HCL Technologies.

Modes of Hadoop Training at Infibee Technologies

  • Classroom Training

  • Self – Paced Training
  • Online Training

  • Corporate Training

Global Certifications Available for Hadoop Training In Delhi

S.No. Certification Cost (INR) Validity
1 Cloudera Certified Administrator 50,000 2 Years
2 Hortonworks Hadoop Certification 45,000 2 Years
3 AWS Big Data Specialty 55,000 3 Years
4 IBM Big Data Engineer 60,000 3 Years
5 Google Cloud Data Engineer 58,000 2 Years

Benefits of Learning the Hadoop Course In Delhi

  • Gain expertise in Hadoop ecosystem and big data analytics

  • Hands-on training with live projects

  • Prepare for high-paying jobs in top MNCs

  • Certification recognized globally

  • Improve analytical and problem-solving skills

  • Flexible training modes to suit all learners

What You’ll Learn

  • Hadoop architecture, HDFS, and MapReduce programming

  • Hive, Pig, HBase, and Sqoop for data management

  • Spark, Flume, Kafka, and Oozie for data processing

  • Big data analytics and real-time data handling

  • Cluster setup, administration, and performance tuning

Who Can Join?

  • Students and fresh graduates

  • IT professionals seeking upskilling

  • Data analysts and software developers

  • Anyone interested in big data and Hadoop technologies

Career Opportunities in Hadoop Training In Delhi

Experience Level Role Salary (LPA)
Freshers/Junior (0–3 yrs) Hadoop Trainee 3–4.5
Junior Hadoop QA Engineer 4–5.5
Hadoop Automation Tester 4–5
Mid-Level (4–8 yrs) Hadoop Engineer 5–8
Senior Hadoop QA Engineer 8–12
Hadoop Test Automation Specialist 8–12
Hadoop Lead 8–12
Senior/Experienced (9+ yrs) Principal Hadoop Engineer 12–18
Head of Hadoop 15–20
Hadoop Consultant 18–25
Specialized Roles Hadoop Security Tester 10–15
Hadoop Testing Specialist 10–15
Hadoop Testing Expert 12–18

Who’s Hiring Hadoop Professionals?

  • TCS

  • Infosys

  • Wipro

  • Cognizant

  • HCL Technologies

Can I Study Hadoop Training in Other Locations?

Hadoop Training is offered to other cities as well as Hadoop Training in Chennai, Hadoop Training in Bangalore, Hadoop Training in Delhi, and Hadoop Training in Pune. While Infibee Technologies is providing hands-on training, experienced mentors, and placement support, which goes hand in hand with what candidates look for specifically in Delhi, that is what makes us the number one choice.

How to Register for Hadoop at Infibee Technologies

Step 1: Register for a Free Demo

  • Visit our website and submit the inquiry form

  • Participate in a free demo session to learn 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

  • Learn from expert instructors

  • Work on real-time projects and get ready for Hadoop certification

Enroll Today: Unlock Your Hadoop Training In Delhi Potential!

Begin your career advancements with Hadoop Training in Delhi at Infibee Technologies. Develop skills, earn a global certification, and secure high-paying positions with top MNCs. This is the big data career platform you were looking for!

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Why People Choose Infibee ?

Upcoming Hadoop Online Batches

06-10-2025
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
08-10-2025
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
03-10-2025
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 on your journey into the world of Big Data with our comprehensive Hadoop Online Course! 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 Online 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 Online Training 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 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
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 Online Training FAQ's

Infibee Hadoop Online 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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