Big Data Hadoop Training in Gurgaon

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

KickStart your career in our Big Data Hadoop Course in Gurgaon with guided by 12+ years of industry-experienced experts, affordable fees, real practice style Hadoop projects, resume preparation, interview preparation, placement training, certification guidance, and lifetime access to recorded sessions from live classes.

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

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Big Data Hadoop Course in Gurgaon Overview

Infibee’s Advanced Big Data Hadoop Course in Gurgaon is made so students, working professionals, software developers, data engineers, and IT enthusiasts can get really good with Big Data technologies and distributed data processing… you know, the whole ecosystem. This industry-focused Big Data Hadoop Training in Gurgaon covers Hadoop architecture, HDFS, MapReduce, YARN, Hive, Pig, Sqoop, Flume, Spark, and also real time analytics, so learners don’t just memorize things, they actually understand how it fits together. People who join will work through hands on projects, case studies,and real world implementation scenarios that modern enterprises use on daily basis.

Infibee Technologies provides Big Data Hadoop Training in Gurgaon, really pushes practical learning with expert-led sessions, live projects, certification guidance, and placement assistance. By the end, participants should be able to handle massive datasets, design scalable data pipelines, do distributed computing, and support data driven business decisions. So whether you want to start a career in Big Data, or you want to sharpen your existing data engineering skills, our Big Data Hadoop Classes in Gurgaon offer the technical know how and industry exposure needed to perform better in today’s competitive IT market.

Big Data Hadoop Course Topics Covered Applications of Big Data Hadoop Training in Gurgaon Tools Used
Hadoop Architecture Data Analytics Hadoop
HDFS Data Warehousing Apache Spark
MapReduce Business Intelligence Hive
YARN Predictive Analytics Pig
Hive Data Processing Sqoop
Pig Data Integration Flume
Apache Spark Machine Learning Pipelines HBase
HBase Real-Time Analytics Kafka
Data Ingestion Data Lake Management Oozie
Cluster Management Enterprise Big Data Solutions Ambari

Why Choose Infibee Technologies for a Big Data Hadoop Course in Gurgaon?

  • 12+ Years of Industry Experienced Trainers
  • Real-Time Big Data Projects and Case Studies
  • 100% Placement Assistance
  • Resume Building and Mock Interview Support
  • Certification Guidance and Exam Preparation
  • Hands-On Hadoop and Spark Labs
  • Flexible Classroom and Online Training Options
  • Corporate Training Programs Available
  • Affordable Course Fees
  • Lifetime Access to Recorded Sessions
  • Weekend and Fast-Track Batches
  • Industry-Oriented Curriculum

Best Big Data Hadoop Institute in Gurgaon – Get Certified with Infibee Technologies

Infibee Technologies is one of India’s Best Big Data Hadoop Training Institute In Gurgaon, is planned by industry experts and it stays aligned with the latest Big Data trends and enterprise needs. This Big Data Hadoop Course in Gurgaon is handled by professionals who have more than 12+ years of practical experience in Data Engineering, Analytics, Hadoop Administration, Cloud Platforms and Distributed Computing. You don’t just sit and listen. Learners get hands on exposure through live projects, realistic business situations, and practical assignments, which slowly build your technical confidence and proficiency in a steady way.

As a trusted Big Data Hadoop Training In Gurgaon provider, Infibee Technologies also gives complete career support, certification guidance, resume improvement, mock interview practice, placement assistance, and access to real time projects. So whether you are a fresher, or someone with experience already, our training helps you shape the exact skills that are needed to get chances in leading multinational companies and fast-growing tech organizations.

Certification Providing

After you successfully finish this Big Data Hadoop Training in Gurgaon, participants will get a course completion certificate from Infibee Technologies. We also offer full direction for globally accepted Hadoop, Spark, and Data Engineering certifications, that confirm your abilities and open up better career chances within the Big Data area.

Alumni Are Hired by Top MNC Companies

  • TCS
  • Infosys
  • Wipro
  • Accenture
  • Cognizant
  • HCLTech
  • Capgemini
  • IBM
  • Tech Mahindra
  • Deloitte
  • LTIMindtree
  • Oracle

Modes of Big Data Hadoop Training in Gurgaon at Infibee Technologies

  • Classroom Training
  • Online Instructor-Led Training
  • Corporate Training
  • Weekend Training
  • Fast-Track Training

Global Certifications Available for Big Data Hadoop Training in Gurgaon

S.No Certification Code
1 Cloudera Certified Associate (CCA) Data Analyst
2 Cloudera Certified Professional (CCP) Data Engineer
3 Hortonworks Hadoop Certification
4 Databricks Certified Data Engineer Associate
5 Databricks Certified Data Engineer Professional
6 Microsoft DP-203 Azure Data Engineer Associate
7 Google Professional Data Engineer
8 AWS Certified Data Engineer – Associate
9 IBM Certified Data Engineer Professional
10 Snowflake SnowPro Core Certification

Benefits of Learning the Big Data Hadoop Training in Gurgaon

  • Gain expertise in distributed data processing and large-scale data management.
  • Learn to work with Hadoop ecosystem components used by leading enterprises.
  • Build hands-on experience with real-time Big Data Hadoop projects.
  • Understand data storage, processing, and analytics techniques for big data environments.
  • Improve your skills in Hadoop cluster management and performance optimization.
  • Learn industry-standard tools used by data engineers and big data professionals.
  • Increase your employability in the rapidly growing big data and analytics market.

What You’ll Learn

  • Fundamentals of Big Data and Hadoop architecture.
  • Hadoop Distributed File System (HDFS).
  • MapReduce programming concepts.
  • Hadoop cluster setup and administration.
  • Data ingestion using Sqoop and Flume.
  • Data warehousing with Hive.
  • Real-time data processing with Spark.
  • NoSQL database concepts using HBase.
  • Workflow scheduling with Oozie.
  • Big data security and governance.
  • Performance tuning and optimization techniques.
  • Integration of Hadoop with cloud platforms and enterprise applications.

Who Can Join?

  • Fresh graduates looking to build a career in Big Data and Data Engineering.
  • Software Developers and Programmers.
  • Database Administrators (DBAs).
  • ETL Developers and Data Integration Professionals.
  • Data Analysts and Business Intelligence Professionals.
  • Cloud Engineers and Solution Architects.
  • System Administrators and Linux Professionals.
  • IT Professionals planning to transition into Big Data technologies.
  • Project Managers handling data-driven projects.
  • Anyone interested in learning Big Data Hadoop technologies.

Career Opportunities in Big Data Hadoop Course in Gurgaon

Experience Level Job Role Average Salary (INR)
Freshers (0–3 Years) Hadoop Developer Trainee 4 – 6 LPA
Freshers (0–3 Years) Junior Big Data Engineer 4.5 – 7 LPA
Freshers (0–3 Years) Data Processing Analyst 4 – 6.5 LPA
Mid-Level (4–8 Years) Hadoop Developer 7 – 12 LPA
Mid-Level (4–8 Years) Big Data Engineer 8 – 15 LPA
Mid-Level (4–8 Years) Spark Developer 8 – 14 LPA
Mid-Level (4–8 Years) Data Pipeline Engineer 9 – 15 LPA
Senior (9+ Years) Senior Big Data Architect 15 – 25 LPA
Senior (9+ Years) Lead Data Engineer 18 – 30 LPA
Senior (9+ Years) Big Data Solutions Architect 20 – 35 LPA
Specialized Roles Hadoop Administrator 8 – 15 LPA
Specialized Roles Data Lake Engineer 10 – 18 LPA
Specialized Roles Cloud Big Data Consultant 12 – 25 LPA

Who’s Hiring Big Data Hadoop Professionals?

  • Tata Consultancy Services
  • Infosys
  • Wipro
  • Accenture
  • Cognizant
  • Capgemini
  • IBM
  • HCLTech
  • Tech Mahindra
  • Deloitte

Can I Study for a Big Data Hadoop Course in Other Locations?

Yes! Infibee Technologies offers Big Data Hadoop Training In Gurgaon and online instructor-led training across major cities in India, including:

With expert mentors, hands-on project experience, certification guidance, and placement support, Infibee Technologies remains a preferred Big Data Hadoop Online Training and across India.

How to Register for Big Data Hadoop Classes In Gurgaon at Infibee Technologies?

Step 1: Register for a Free Demo

  • Visit our website and submit the enquiry form.
  • Attend a free demo session to understand the course structure and training methodology.

Step 2: Select Your Training Mode

  • Choose Classroom Training, Online Instructor-Led Training, or Corporate Training.
  • Select a convenient batch schedule based on your availability.

Step 3: Start Your Big Data Hadoop Course In Gurgaon Journey

  • Learn directly from industry experts with 12+ years of experience.
  • Work on real-time Hadoop and Big Data implementation projects.
  • Practice hands-on exercises and case studies.

Enroll Today: Unlock Your Big Data Hadoop Training Potential!

Join Infibee Technologies and build expertise through our industry-focused Big Data Hadoop Training In Gurgaon. Gain hands-on project experience, certification guidance, and placement assistance from experienced trainers. Enroll today in our Big Data Hadoop Course in Gurgaon and take the next step toward a successful career in Big Data and Data Engineering.

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Why People Choose Infibee ?

Upcoming Big Data Hadoop Batches In Gurgaon

27-07-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
29-07-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
31-07-2026
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Big Data Hadoop Course Syllabus in Gurgaon

Join Our Big Data Hadoop Training in Gurgaon! We offer you all the important methodologies of Hadoop, big data tools, and advanced techniques in our syllabus. All the practical projects are guided by industry experts, thus equipping you to analyse big data processes effectively within this buzzing tech hub. 
  • 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
  • HUE.(Hortonworks and Cloudera)
  • 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 Big Data Hadoop Projects

Enrol in our Big Data Hadoop classes in Gurgaon, where the course will be based on high-quality training concerning their core concepts and practical approach, providing exposure to the current industry use cases and scenarios in which the participants will be able to boost their skill sets along with gaining the capability to execute real-time big data projects using best practices.

Customer Sentiment Analysis

Analyze customer reviews and feedback using Hadoop. Determine positive, negative, and neutral sentiments. Present findings to improve customer service strategies.

Log Data Analysis

Process and analyze server logs with Hadoop. Identify trends, errors, and performance issues. Help optimize server performance and uptime

Healthcare Data Management

Collect and process patient records using Hadoop. Analyze treatment outcomes and patterns. Improve healthcare services and patient care.

For Corporates

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

Corporate Training
"Leading Companies We've Served"
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Our Instructor
Name
Ms. Pooja
Experience
9+ Years
Specialized in
Agile Basics, APM Framework, Scrum Building Blocks, & Agile Tools
More Details
Pooja is one of Infibee's top-certified trainers in Big Data Hadoop, boasting over 9 years of hands-on experience collaborating with industry professionals. He holds certifications in Hadoop, Spark, Hive, Pig, and HDFS, ensuring expertise in advanced big data technologies.

Agile Course Training Objectives

Our Best Big Data Hadoop Training in Gurgaon aims to arm participants with comprehensive skill and practical know-how in the subject. Aims include the thorough mastery of core Hadoop concepts, implementation of acquired skills through real-world big data projects, advancement in critical thinking, and preparation for professional challenges. 

The average salary for a professional skilled in Big Data Hadoop in India ranges from ₹8,00,000 to ₹18,00,000 per annum, depending on experience, job role, and location.

Yes, there are several certifications for Big Data Hadoop, such as the Cloudera Certified Associate (CCA) Spark and Hadoop Developer, the Hortonworks Certified Apache Hadoop Developer (HDPCD), and the MapR Certified Hadoop Developer.

A Big Data Hadoop course typically covers topics such as Hadoop architecture, HDFS (Hadoop Distributed File System), MapReduce programming, Apache Hive, Apache Pig, Apache HBase, Apache Spark, YARN (Yet Another Resource Negotiator), and data ingestion using tools like Sqoop and Flume.

While there are no strict prerequisites, having a basic understanding of programming (Java, Python), databases, and Linux operating system can be beneficial. Familiarity with data analysis concepts is also helpful.

Obtaining a Big Data Hadoop certification enhances your career by providing a recognized credential that demonstrates your expertise in big data technologies and analytics. It can lead to advanced job opportunities, higher salaries, and increased professional credibility in the field of data science and big data analytics.

With Big Data Hadoop skills, you can pursue various job roles such as Hadoop Developer, Big Data Engineer, Data Analyst, Data Scientist, Hadoop Administrator, and Data Architect. These roles involve managing and analyzing large datasets, developing big data solutions, and optimizing data processing workflows.

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.

Big Data Hadoop Career Opportunity

Big Data Hadoop is the most leading programming language, and it works on all the computers and mobile devices without demanding to be upgraded. One of the highest-paid careers in the software developing industry is the Big Data Hadoop career, and a person with the Big Data Hadoop certification can earn an average of 7 LPA per year.
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

Big Data Hadoop Training FAQ's

Infibee Big Data Hadoop Training In Gurgaon 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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