Big Data Hadoop Training in Chennai

3.8/5

Infibee Technologies is the provider of India’s No.1 Big Data Hadoop Training in Chennai, along with global certification and placement support.

Start your career with Big Data Hadoop Course in Chennai at Infibee Technologies, where the teaching staff consists of more than 10 industry professionals. You will be able to work with and manage large-scale data by using Hadoop, Hive, HDFS, Pig, and Spark. The Big Data Hadoop Training in Chennai at Infibee Technologies is a great way to learn the necessary data engineering and analytics skills that are in demand today, as it is not only reasonably priced but also includes mock projects, interview preparation, and lifetime access to live session recordings.

Enlist in our Big Data Hadoop Training Institute in Chennai and let your career destiny be lit with high-salaried jobs in prominent multinational companies!

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25 hrs of E-Learning Videos
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Big Data Hadoop Course in Chennai Overview

Launch your career in data engineering and analytics with Infibee Technologies, which is the top institute for Big Data Hadoop Training in Chennai. This course is suited for IT experts, data professionals, and novices, and it guides you through mastering the stages of data storage, processing, and analysis using Hadoop, Hive, Pig, Sqoop, and Spark with the help of real projects, and expert-led sessions.

Our Big Data Hadoop Course in Chennai gives you the talent to create and operate distributed data systems, conduct real-time analytics, and construct easily-scaled data solutions. Infibee Technologies provides you with hands-on training, certification counseling and job assistance, which makes you ready for high-paying positions in the rapidly expanding Big Data area.

Big Data Hadoop Course in Chennai – Topics Covered Applications of Big Data Hadoop Training in Chennai Tools Used
HDFS Architecture, MapReduce Programming, YARN Real-time analytics and business intelligence Apache Hadoop
Hive, Pig, Sqoop, and HBase Data warehousing and large-scale data storage Apache Hive
Apache Spark and Spark Streaming Log processing and recommendation systems Apache Spark
Data Ingestion using Flume and Kafka Fraud detection and customer behavior analysis Apache Kafka
Cluster setup, performance tuning, and monitoring Cloud-based big data solutions (AWS, Azure) HDFS, Oozie, Flume

Why Choose Infibee Technologies for Big Data Hadoop Course in Chennai?

  • Expert trainers with 10+ years of Big Data industry experience

  • Real-time projects based on banking, healthcare, and e-commerce domains

  • Affordable course fees with flexible payment options

  • Mock interviews, resume building, and placement assistance

  • Lifetime access to class recordings and course materials

  • Small batch sizes ensuring individual attention

  • Hands-on labs for mastering Hadoop ecosystem tools

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

Located in the center of T-Nagar, Infibee Technologies is an upcoming institute which is mainly into Cloud computing, Data engineering, and Automation. Being labeled the Best Big Data Hadoop Training Institute in Chennai, our program has been structured meticulously by certified professionals with the aim of equipping the practitioners with the necessary skills to control the whole data process which includes distributed computation, storage architecture, and large data processing through the use of Hadoop, Hive, Spark, and Kafka.

Moreover, the students being trained with a lot of hands-on experience, they are the ones who are going to carry out the projects of the world and thus are being prepared to deal with large data of enterprises. Together with the highly skilled mentoring, career guidance, and placement support, our Big Data Hadoop Classes in Chennai are the ones trip to the destination of becoming a Data Engineer, Hadoop Developer, or Big Data Analyst in the data driven world of today, where the competition is so high.

Certification Provision

Upon a successful completion of the Big Data Hadoop Training in Chennai, an industry-recognized certificate will be given to you by Infibee Technologies, which will be proof that you have the necessary skills for handling and analyzing large data systems with the help of Hadoop tools. Moreover, our experts will take you to the global certifications such as CCA Data Analyst and Hortonworks Hadoop Developer, that will surely open up the doors for you towards top data-driven companies.

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

Modes of Big Data Hadoop Course in Chennai:

  • Classroom Training

  • Online Training

  • Corporate Training

  • Self – Paced Training

Global Certifications for Big Data Hadoop Training in Chennai

S.No Certification Code Cost (INR) Certification Expiry
1 CCA175 – Cloudera Certified Data Analyst ₹18,000 No Expiry
2 HDP Certified Developer (Hortonworks) ₹15,000 3 Years
3 Databricks Certified Data Engineer ₹21,000 2 Years
4 AWS Big Data Specialty ₹25,000 3 Years
5 Google Cloud Data Engineer ₹20,000 3 Years

Benefits of Learning the Big Data Hadoop Course in Chennai

  • Master Big Data frameworks like Hadoop, Spark, and Hive

  • Learn real-time data processing and analytics

  • Build scalable data pipelines for enterprise use

  • Gain hands-on experience in distributed systems

  • Boost your career in Data Engineering and Analytics

  • Prepare for global data certifications

  • High-demand skillset across IT, Banking, and E-commerce industries

What You’ll Learn

  • Hadoop architecture and cluster management

  • Data ingestion using Flume and Kafka

  • Querying data with Hive and Pig

  • Building real-time applications with Spark

  • Optimizing Hadoop jobs for performance

  • Implementing data pipelines for analytics

Who Can Join?

  • Freshers aspiring to start a data career

  • Software Developers & System Engineers

  • Data Analysts & Database Administrators

  • Cloud Engineers & DevOps Professionals

  • Anyone interested in Big Data technologies

Career Opportunities in Big Data Hadoop Training in Chennai

Experience Level Job Role Average Salary (LPA)
Freshers (0–3 years) Hadoop Developer 4–6 LPA
Junior (0–3 years) Data Analyst 3.5–5.5 LPA
Mid-Level (4–8 years) Big Data Engineer 7–12 LPA
Mid-Level (4–8 years) Data Warehouse Architect 8–14 LPA
Senior (9+ years) Big Data Solution Architect 15–25 LPA
Specialized Roles Spark Developer / Data Scientist 10–20 LPA

Who’s Hiring Big Data Hadoop Course in Chennai Professionals?

  1. Amazon Web Services (AWS)

  2. TCS

  3. Infosys

  4. IBM

  5. Accenture

  6. Cognizant

  7. Deloitte

Can I Study the Big Data Hadoop Course in Other Locations?

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

How to Register for Big Data Hadoop Classes in Chennai at Infibee Technologies?

Step 1: Register for a Free Demo
Visit our website and fill out the inquiry form.
Attend a free demo session to understand our training methodology.

Step 2: Select Your Training Mode
Choose between Classroom, Online, or Corporate Training options.
Confirm your preferred batch schedule and timing.

Step 3: Start Your Big Data Hadoop Course in Chennai Journey
Begin learning from expert trainers.
Work on live projects and prepare for Big Data Hadoop certifications.

Enroll Today: Unlock Your Big Data Hadoop Training in Chennai Potential!

Transform your career with Infibee Technologies’ Big Data Hadoop Training in Chennai — your gateway to mastering data analytics, cloud integration, and real-time processing. Gain job-ready skills, earn industry-recognized certification, and land your dream role in top companies.

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Why People Choose Infibee ?

Upcoming Big Data Hadoop Batches In Chennai

17-11-2025
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
12-11-2025
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
14-11-2025
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Big Data Hadoop Course Syllabus in Chennai

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