Big Data Hadoop Course in Bangalore

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Infibee Technologies offers India’s No.1 Big Data Hadoop Training in Bangalore with globally recognized certification and 100% placement assistance.

KickStart your career with our Big Data Hadoop Course in Bangalore, guided by 13+ years of industry-experienced experts, affordable fees, real-time mock projects, resume building, interview preparation, placement training, and lifetime access to recorded sessions of live classes. Get practical knowledge in data processing, storage, and analysis through Hadoop, HDFS, Hive, Pig, and Spark. Develop the ability to manage large-scale data sets quickly and thus, promote your career in Big Data Hadoop.

Join our Big Data Hadoop Training Institute in Bangalore and ignite your Big Data Hadoop IT career with high-paying job opportunities in top companies.

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Big Data Hadoop Course in Hyderabad Overview

Begin your career with India’s foremost Big Data Hadoop Course in Bangalore presented by Infibee Technologies, the most reliable institute for IT career revamp. Our course equips learners and professionals to control the tools and techniques that are being utilized in Big Data Analytics and Hadoop ecosystems. Having been created by specialists from the industry, this course brings you the technical knowledge, practical exposure, and professional confidence to succeed in high-demand data-driven roles in the best organizations.

About Big Data Hadoop

Big Data Hadoop is a framework that is open-source and is employed to store and process vast amounts of data in an economical manner across a network of computers. Hadoop allows organizations to see and process huge amounts of data that traditional systems cannot handle. Hadoop consists of various components including HDFS, MapReduce, YARN, Hive, Pig, and Spark, all facilitating the easy and smooth data processing and management. The technology is widespread in various industries including finance, healthcare, retail, and IT for purposes such as predictive analytics, customer insights, and real-time decision support, amongst others. Acquiring knowledge of Big Data Hadoop is a way for a professional to get access to the jobs of Data Engineer, Hadoop Administrator, or Big Data Developer.

MuleSoft Course Topics Covered Applications of Big Data Hadoop Admin Course Tools Used
Introduction to Hadoop Framework Data Processing and Management Hadoop Distributed File System (HDFS)
HDFS Architecture Data Storage and Retrieval MapReduce
MapReduce Programming Real-time Data Analysis Apache Hive
Hive, Pig, and Spark Concepts Machine Learning Model Deployment Apache Pig
Hadoop Ecosystem Tools Predictive Data Analytics Apache Spark
Installation and Configuration Cloud Data Integration YARN, Sqoop, Flume
Cluster Management Log Analysis and Reporting HBase, Oozie
Hadoop Security and Monitoring Business Intelligence Applications Ambari
Performance Optimization Data Migration & Backup Zookeeper
Capstone Projects Data Warehouse Management Tableau, Power BI

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

  • 13+ years experienced trainers with hands-on industry expertise.

  • Real-time projects and case studies for practical learning.

  • Globally recognized certifications to boost employability.

  • 100% placement assistance with resume and interview preparation.

  • Lifetime access to recorded live sessions.

  • Affordable course fees with flexible EMI options.

  • Personalized mentorship and doubt-clearing sessions.

  • Career guidance and post-training support.

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

Located in Bangalore, Infibee Technologies is the leading Big Data Hadoop Course Institute in Bangalore that is known for providing industry-oriented courses and making skilled professionals in emerging technologies. Our Institute gives a structured learning path from basics to advanced Hadoop concepts. This training merges theoretical depth with a lot of practical experience, thus, ensuring that the students can work with complex Big Data projects confidently.

The labs are well furnished with the latest technology, and students are provided with access to real-world datasets, cloud-based tools, and enterprise-level Hadoop clusters. Infibee Technologies aims to aid students in crossing the barrier between the theories learned in schools and the skills required in the industries, therefore, making them ready for jobs from the very first day. Our alumni includes placements in top MNCs like TCS, Infosys, Wipro, Accenture, Capgemini, and IBM which is a testimony to our dedication to the quality of IT education and the placement of students.

Certification Providing 

Upon course completion, Infibee Technologies awards a prestigious Big Data Hadoop certification. This paper is proof of your technical competence and the hands-on experience with Hadoop tools like HDFS, Hive, Pig, and Spark. The certification makes you more visible to the recruiters and also positions you better in the labor market. Furthermore, this leads to more demanding jobs in data engineering and analytics for you. Those students who finish the course successfully are issued both Infibee Technologies Course Completion Certificate and guidelines on how to obtain international Hadoop certifications.

Modes of Big Data Hadoop Training at Infibee Technologies

  • Classroom Training

  • Online Live Instructor-led Training

  • Corporate Training

  • Self-Paced Training

Global Certifications for Big Data Hadoop

S.No Certification Code Cost (INR) Certification Expiry
1 HDPCD (Hadoop Developer Certification) ₹18,000 3 Years
2 HDPCA (Hadoop Administrator Certification) ₹20,000 3 Years
3 CCA-175 (Cloudera Certified Associate) ₹22,000 3 Years
4 CCP: Data Engineer ₹25,000 3 Years
5 Hortonworks Hadoop Certification ₹15,000 2 Years

Benefits of Learning the Big Data Hadoop Course In Bangalore

  • High demand across IT and analytics industries.

  • Competitive salaries and global job opportunities.

  • Hands-on learning with real-time data projects.

  • Builds strong data management and analytical skills.

  • Enhances problem-solving and technical expertise.

  • Opens career paths in AI, ML, and data science.

  • Boosts your professional credibility with certifications.

  • Lifetime learning access with Infibee Technologies.

What You’ll Learn

  • Hadoop Architecture and Ecosystem.

  • Data Processing with MapReduce.

  • Data Querying with Hive and Pig.

  • Real-time Data Analytics with Spark.

  • Cluster Configuration and Management.

  • Data Integration using Sqoop and Flume.

  • Hadoop Security and Optimization Techniques.

  • Hands-on projects using real datasets.

Who Can Join?

  • IT professionals seeking to upskill in data technologies.

  • Data analysts and software engineers.

  • System administrators and DevOps professionals.

  • Fresh graduates aspiring for data careers.

  • Anyone interested in data engineering and analytics.

Career Opportunities in Big Data Hadoop

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

Who’s Hiring Big Data Hadoop Professionals?

  1. TCS

  2. Infosys

  3. Wipro

  4. Capgemini

  5. Accenture

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 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 Bangalore, 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
Visit our website and fill out the inquiry form. Attend a free demo session to understand our teaching approach.

Step 2: Select Your Training Mode
Choose from classroom, online, corporate, or self-paced learning. Confirm your preferred batch timing.

Step 3: Start Your Big Data Hadoop Journey
Learn with expert instructors, gain practical exposure through live projects, and prepare for global Hadoop certifications.

Enroll Today: Unlock Your Big Data Hadoop Potential!

Master Big Data Hadoop with Infibee Technologies, the top-rated Big Data Hadoop Course Institute in Bangalore, and step into a future full of high-paying data analytics opportunities.

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Upcoming Big Data Hadoop Batches In Hyderabad

20-10-2025
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
22-10-2025
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
17-10-2025
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Big Data Hadoop Course Syllabus in Hyderabad

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