Big Data Hadoop Training in Noida

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

KickStart your career with our Big Data Hadoop Course in Noida with guided by 10+ years of industry experienced experts, affordable fees, mock projects, resume preparation, interview preparation, placement training, and lifetime access to recorded sessions of live classes. This course also focuses on big data processing, Hadoop ecosystem tools, real-time data analytics, and hands-on project implementation to help learners manage and analyze large datasets efficiently.

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

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Big Data Hadoop Course in Noida Overview

Begin your career with our Big Data Hadoop Course In Noida and step into the rapidly growing field of data analytics and big data technologies. This course teaches students how to manage large data sets while achieving efficient processing and extracting business insights from their work.

Hadoop Big Data functions as an open-source framework which enables organizations to execute large-scale data processing across their multiple distributed systems. The need for data-based solutions has increased yet learning Big Data Hadoop Course in Noida creates high-paying job possibilities in leading companies. The technology serves as a crucial component for current businesses because it enables organizations to scale their operations while maintaining cost efficiency through its capacity to manage extensive data processing requirements.

About Big Data Hadoop

HDFS and MapReduce technology serve as the foundation for the Big Data Hadoop Course which enables students to work with both structured and unstructured data. Many industries including banking, healthcare, retail and IT use Hadoop for better decision-making and operational efficiency and gaining market advantages.

Big Data Hadoop Course Topics Covered Applications of Big Data Hadoop Course Tools Used
Hadoop Architecture & HDFS Data Storage & Management Hadoop
MapReduce Programming Big Data Processing Hive
YARN & Cluster Management Data Analysis Pig
Hive & Pig Business Intelligence Spark
HBase & NoSQL Real-Time Data Processing HBase
Data Ingestion (Sqoop, Flume) Data Integration Sqoop, Flume

Why Choose Infibee Technologies for Big Data Hadoop Course In Noida?

  • Infibee Technologies is a leading Big Data Hadoop Training Institute In Noida offering industry-focused training with real-time exposure.
  • Course designed by experts with 10+ years of experience.
  • Helps students gain practical knowledge aligned with current industry requirements.
  • Includes hands-on labs, live projects, and real-world case studies.
  • Provides understanding of real business applications of Big Data Hadoop.
  • Offers complete career support including resume building and interview preparation.
  • Ensures 100% placement assistance to make students job-ready.
  • Features flexible batch timings for both freshers and working professionals.

Best Big Data Hadoop Course Institute In Noida – Get Certified with Infibee Technologies

Located in Noida, Infibee Technologies is a well-established IT training institute known for delivering high-quality, industry-oriented programs. This Big Data Hadoop Course Institute In Noida teaches students through practical learning methods which include hands-on labs and live projects and case studies. Our institute provides job-oriented training programs which help students develop essential skills needed for their future employment.

This Big Data Hadoop Course In Noida offers flexible learning options through its classroom and online training which benefits both new students and employed professionals. The combination of affordable pricing and quality education makes Infibee Technologies the most preferred educational institution. The learning environment enables students to interact with others while developing their ability to solve problems.

Certification Providing

Infibee Technologies offers an industry-standard Big Data Hadoop certification through its Noida training, enabling students to demonstrate their proficiency in big data technologies. The certification course provides hands-on projects and assignments and mock tests which learners use to practice real-world scenarios.

Alumni Hiring Companies

  • Tata Consultancy Services
  • Infosys
  • Wipro
  • HCL Technologies
  • Accenture
  • Capgemini

Modes of Big Data Hadoop at Infibee Technologies

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

Global Certifications for Big Data Hadoop

S.No Certification Code Cost (INR) Expiry
1 Cloudera Certified Associate (CCA) ₹25,000 2 Years
2 Hortonworks Hadoop Certification ₹22,000 2 Years
3 IBM Big Data Engineer ₹30,000 2 Years
4 Microsoft Azure Data Engineer ₹35,000 2 Years

Benefits of Learning Big Data Hadoop Course In Noida

  • High demand in data-driven industries
  • Attractive salary packages
  • Strong career growth
  • Hands-on practical experience
  • Opportunity to work with large datasets
  • Industry-recognized certification
  • Job-ready skills

What You’ll Learn

  • Big data fundamentals
  • Hadoop ecosystem tools
  • Data processing techniques
  • Real-time data analytics
  • Data storage and management

Who Can Join?

  • Freshers
  • IT professionals
  • Data analysts
  • Engineers
  • Anyone interested in big data

Career Opportunities in Big Data Hadoop

Level Job Role Salary (LPA)
Freshers (0–3 years) Hadoop Trainee 3–4.5 LPA
Junior QA Engineer 4–5.5 LPA
Automation Tester 4–5 LPA
Mid-Level (4–8 years) Hadoop Engineer 5–8 LPA
Senior QA Engineer 8–12 LPA
Data Specialist 8–12 LPA
Testing Lead 8–12 LPA
Senior (9+ years) Principal Engineer 12–18 LPA
Data Architect 15–20 LPA
Consultant 18–25 LPA
Specialized Roles Data Security Specialist 10–15 LPA
Big Data Specialist 10–15 LPA
Hadoop Expert 15+ LPA

Who’s Hiring Big Data Hadoop Professionals

  • Tata Consultancy Services
  • Infosys
  • Wipro
  • HCL Technologies
  • Accenture

Can I study Big Data Hadoop Course in other locations?

Yes! Infibee Technologies offers Big Data Hadoop Training in Noida across major cities through online mode including:

  • Big Data Hadoop Training in Chennai
  • Big Data Hadoop Training in Bangalore
  • Big Data Hadoop Training in Hyderabad
  • Big Data Hadoop Training in Delhi
  • Big Data Hadoop Training in Pune

With expert mentors, practical training, and placement support, Infibee remains the No.1 choice for Big Data Hadoop aspirants across India.

How to Register for Big Data Hadoop at Infibee Technologies

Step 1: Register for a Free Demo
Visit the website and submit the inquiry form. Attend a free demo session to understand the course.

Step 2: Select Your Training Mode
Choose classroom, online, corporate, or self-paced training as per your convenience.

Step 3: Start Your Big Data Hadoop Journey
Begin learning with expert trainers, work on real-time projects, and prepare for certification.

Enroll Today: Unlock Your Big Data Hadoop Potential!

Join the best Big Data Hadoop Course Institute In Noida and build a successful career with high-paying job opportunities in top companies.

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Why People Choose Infibee ?

Upcoming Big Data Hadoop Batches In Noida

20-04-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
15-04-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
17-04-2026
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 Noida

Join Our Big Data Hadoop Training in Noida! 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?
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Hands On Big Data Hadoop Projects

Enrol in our Big Data Hadoop classes in Noida, 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"
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 Noida 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 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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