Big Data Hadoop Training in Noida

4.5/5

Infibee Technologies offers India’s No.1 Big Data Hadoop Training In Pune with global certification and 100% placement assistance.

KickStart your career in Big Data Hadoop Course In Pune with guidance from 13+ years of industry-experienced trainers, hands-on projects, resume and interview preparation, placement-focused training, and lifetime access to recorded sessions of live classes. Acquire comprehensive understanding of Hadoop ecosystem tools, real-time data processing and big data analytics, which are very much demanded in the IT sector. Get yourself involving with the hands-on skills to do on the enterprise-level Hadoop projects and to push the business intelligence initiatives.

Join our Big Data Hadoop Training Institute In Pune and elevate your IT career with high-paying roles in leading companies.

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Big Data Hadoop Course in Pune Overview

Begin your career with Big Data Hadoop. A novel technique called Big Data Hadoop allows companies to carry out the processing and analysis of huge datasets more rapidly and effectively. The continuous increase of data in every sector has created a great need for Hadoop experts. Our course provides training in all aspects, from the technologies that support and store Hadoop to the frameworks for processing and real-time analytics.

About Big Data Hadoop

Big Data Hadoop is a freely available framework that supports the combined storage and rapid processing of huge datasets across distributed sites. HDFS (Hadoop Distributed File System) is the technology that distributes the data over various nodes and MapReduce is the technology that does the processing. Hadoop not only enables the organization to get useful insights from both structured and unstructured data, but it also does it in an amount of time and with a lot of various methods such as analytics, business intelligence, and machine learning. This technology mainly presents characteristics like tolerance to errors, scalability, and cost-effective storage. The professionals who are familiar with Hadoop can take advantage of such tools as Hive, Pig, Spark, and HBase for data processing, reporting and real-time analysis. More and more organizations are turning to Hadoop for operational decision-making, predictive modeling and data integration. Hadoop skills are demanded in the context of high-salary jobs like Hadoop Developer, Big Data Engineer, and Data Analyst.

Mulesoft Course Topics Covered Applications of Big Data Hadoop Admin Course Tools Used
HDFS Architecture & Management Data Storage & Management Hadoop, HDFS
MapReduce Programming Large-Scale Data Processing Hive, Pig
Hadoop Ecosystem Overview Batch & Real-Time Analytics Spark, HBase
Hive Query Language (HQL) ETL & Data Warehousing Flume, Sqoop
Pig Scripting Data Integration & Transformation Oozie, Zookeeper
HBase & NoSQL Database Data Analytics & Reporting Kafka
Spark Framework Predictive Analytics & BI Tableau
Data Pipeline Creation Big Data Security & Compliance Python
Real-Time Data Streaming Automation of Data Workflows Linux
Project Work & Case Studies Cloud & Hybrid Data Solutions AWS, Azure

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

  • Industry-aligned curriculum with real-time projects

  • 13+ experienced trainers with hands-on expertise

  • Affordable fees and flexible training modes

  • Resume preparation, interview assistance, and placement support

  • Lifetime access to recorded sessions for continuous learning

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

Located in Pune, Infibee Technologies is the leading Big Data Hadoop Course Institute in Pune, offers professional training with worldwide certification. We pride ourselves on the practical and hands-on learning process, turning beginners into competent professionals in the industry. Our teaching technique is based on live projects, case studies, and real-world scenarios, which guarantee that the learners are skilled in the mentioned technologies such as Hadoop, Spark, Hive, Pig, HBase, and others. Additionally to the technical skills, Infibee also concentrates on the holistic development of a professional through resume playing, mock interviews, and placement mentoring, thus facilitating the students’ employability in the leading multinational corporations. The flexible training timings in terms of the classroom, online, and self-paced modes have made it possible for the working professionals and students to be a part of the classes.

Certification Providing

Infibee Technologies gives out internationally accepted Big Data Hadoop certifications when the student finishes the course. Our diplomas assure that you are proficient in the tools of the Hadoop ecosystem, real-time data processing, and analytics, thereby making you more competitive in the job market. After certification, a person can show their skills in HDFS, MapReduce, Spark, Hive, Pig, and other similar tools, thus being able to take up high-demand positions in top IT companies all over the world.

Alumni Hired in Top MNCs

  • TCS 
  • Infosys 
  • Accenture 
  • Wipro 
  • Capgemini

Modes of Big Data Hadoop at Infibee Technologies

  • Classroom Training

  • Online Live Training

  • Corporate Training

  • Self-Paced Training

Global Certifications Available

S.No Certification Code Cost (INR) Certification Expiry
1 HDP-123 25,000 2 Years
2 CDH-456 30,000 3 Years
3 Cloudera-789 28,000 2 Years

Benefits of Learning Big Data Hadoop Course In Pune

  • Master Hadoop ecosystem and big data analytics

  • Hands-on experience with real-time projects

  • High-paying career opportunities in IT and analytics

  • Placement support in top MNCs

  • Learn ETL, data warehousing, and real-time data streaming

What You’ll Learn

  • HDFS & MapReduce concepts

  • Hadoop ecosystem components

  • Data ingestion, transformation, and analytics

  • Real-time data processing using Spark

  • Project deployment on cloud platforms

Who Can Join?

  • IT Professionals, Data Analysts, Freshers

  • Students aspiring for Big Data roles

  • Developers and Database Administrators

Career Opportunities

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

Who’s Hiring Big Data Hadoop Professionals

  • TCS 
  • Infosys 
  • Accenture 
  • Wipro 
  • Capgemini

Can I study Big Data Hadoop Course in other locations?

Big Data Hadoop Course is offered to other cities as well as Big Data Hadoop Course in Delhi, Big Data Hadoop Course in Hyderabad, Big Data Hadoop Course in Chennai, and Big Data Hadoop Course in Bangalore. 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 Pune, that is what makes us the number one choice.

How to Register for Big Data Hadoop at Infibee Technologies

Step 1: Register for a Free Demo – Submit your inquiry form on our website and attend a free demo session.
Step 2: Select Your Training Mode – Choose between classroom, online, corporate, or self-paced training. Confirm your batch timing.
Step 3: Start Your Big Data Hadoop Journey – Learn from expert instructors, work on real projects, and get certified.

Enroll Today: Unlock Your Big Data Hadoop Potential!

Join Infibee Technologies and become an industry-ready Big Data Hadoop professional. Secure your future with high-paying roles in top MNCs.

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Why People Choose Infibee ?

Upcoming Big Data Hadoop Batches In Pune

02-03-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
25-02-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
27-02-2026
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 Pune

Join Our Big Data Hadoop Training in Pune! 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 Pune, 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 Pune 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 Pune 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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