BIG DATA HADOOP Training Course in Hyderabad

4.5/5

Infibee provides the best BIG DATA HADOOP Training in Hyderabad. It is catered to a complete novice and helps him/her become a professional ready to join the industry. This training will ensure that candidates aspiring to be data engineers or data analysts are equipped with relevant theoretical knowledge alongside practical training on real time projects. Data processing tools like HDFS, MapReduce, Hive, Pig, and Spark are extensively used during Infibee hands-on training sessions. At Infibee, we mentor and teach personally tailored for each student’s success. Success encompasses expert lectures, personalized resume crafting, mock interviews, and full interview and placement assistance. We offer economical course fees and flexible class schedules, while still maintaining a 100% placement success rate ensuring learners receive more value than mere certification.

The program is a gateway to coveted entry-level IT positions or mid-level transitions for newer positions in big data analytics. Infibee is the most trusted BIG DATA HADOOP Training Institute in Hyderabad. We look forward to helping you start your journey.

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Big Data Hadoop Course in Hyderabad Overview

Infibee Technologies provides the informative and practical based BIG DATA HADOOP Training in Hyderabad. This course enables professionals and students to learn about Hadoop’s basic components, including HDFS, MapReduce, YARN, Hive and Pig with real-time project applications. The objective of the BIG DATA HADOOP Training in Hyderabad is providing hands-on training in managing distributed storage as well as processing and preparing students for the emerging data driven world.

Our training program equips fresh graduates and working professionals to meet the industry’s demand in handling colossal amounts of data. Because of Big Data’s growing importance in many industries, the ability to manage Big Data is in high demand. Infibee Technologies has a reputation in Hyderabad for having real-time projects, personalized guidance, and mock interviews which makes students industry ready as software engineers. Infibee Technologies has firmly established itself as the prime provider of BIG DATA HADAOP Training in Hyderabad, enabling trainers take advantage of market opportunities and attend customized automation training programs.

Why Choose Infibee Technologies for BIG DATA HADOOP Course in Hyderabad?

  • Industry-expert faculty with 10+ years of experience

  • 100% placement assistance and job referrals

  • Real-time project implementation

  • Live instructor-led & self-paced learning options

  • Affordable fees with EMI support

  • Resume preparation and mock interviews

  • Access to recorded sessions and study materials

  • Certification guidance and interview tips

  • Trusted by 1000+ students across Hyderabad

  • Flexible class timings—weekend & weekday batches

Best BIG DATA HADOOP Training Institute in Hyderabad – Get Certified with Infibee Technologies

Infibee Technologies can help you to start your career in data analytics. They are the Best BIG DATA HADOOP Training Institute in Hyderabad with courses taught by certified professionals in the field. The curriculum considers both novice and experienced learners as it encompasses the basic and advanced concepts of Hadoop and real-world applications.

HYDERABAD’S BIG DATA HADOOP TRAINING CENTER focuses on giving BIG DATA HADOOP students in Hyderabad real-world experience with the aid of projects, simulations, and other hands-on work. Infibee Technologies ensures that corporate expectations are met through personalized mentorship, job-ready training, and certified, post-training assistance.

Stand out in the saturated job market of Big Data with our certification. You will learn how to handle large quantities of data which helps to speed up and streamline business decision-making processes in our ever-expanding economy. Infibee Technologies is here to help you propel to new heights in your technology career with our tailored BIG DATA HADOOP Course in Hyderabad.

Global Certification Available for BIG DATA HADOOP

S.No Certification Code Cost (INR) Certification Expiry
1 CCA-131 (Cloudera Hadoop Administrator) ₹17,000 3 Years
2 CCP: Data Engineer (Cloudera) ₹20,000 3 Years
3 HDP Certified Developer (Hortonworks) ₹16,500 3 Years
4 MapR Certified Hadoop Developer ₹15,000 3 Years
5 IBM Big Data Engineer Certification ₹18,000 2 Years

Benefits of Learning the BIG DATA HADOOP Course

  • High demand for Hadoop professionals globally

  • Ability to handle structured and unstructured data efficiently

  • Gateway to Data Scientist and Big Data Analyst roles

  • Lucrative salary packages across industries

  • Expertise in popular Big Data tools and frameworks

  • Opportunity to work with global tech giants

  • Strong foundation for advanced data technologies (Spark, Kafka)

  • Enhances analytical thinking and data handling skills

  • Wide applicability in finance, healthcare, retail, and telecom

Career Opportunities in BIG DATA HADOOP (Salary Breakdown Table)

Level Roles Salary Range (INR)
Freshers (0–3 Years) Hadoop Developer Trainee ₹3 – ₹4.5 LPA
Junior Big Data Engineer ₹4 – ₹6 LPA
Data Analyst – Hadoop Stack ₹4.5 – ₹6.5 LPA
Mid-Level (4–8 Years) Hadoop Developer ₹6 – ₹10 LPA
Big Data Engineer ₹8 – ₹12 LPA
Hadoop Architect ₹10 – ₹14 LPA
Senior (9+ Years) Lead Big Data Architect ₹15 – ₹22 LPA
Principal Data Engineer ₹18 – ₹25 LPA
Head of Big Data Engineering ₹20 – ₹30 LPA
Specialized Roles Hadoop Security Engineer ₹12 – ₹18 LPA
Cloudera Hadoop Consultant ₹15 – ₹22 LPA
Big Data DevOps Specialist ₹12 – ₹20 LPA

Who’s Hiring BIG DATA HADOOP Professionals?

  • TCS (Tata Consultancy Services)

  • Infosys

  • Deloitte

  • Amazon Web Services (AWS)

  • Wipro

  • Accenture

  • Tech Mahindra

  • Capgemini

  • IBM

  • HCL Technologies

 

Enroll Today: Unlock Your Potential with BIG DATA HADOOP!

Your tech journey starts with Infibee Technologies! Enroll for the BIG DATA HADOOP Training we offer in Hyderabad and learn the most accepted and sought-after tools of Big Data. Flexible weekend classes, hands-on labs, and job-ready skills sessions are a part of our expertly delivered BIG DATA HADOOP Course in Hyderabad. Get unparalleled access to certification guidance, resume building, and real-time projects while attending our top-rated classes. Prepare for interviews and confidently embrace a fulfilling career in tech with our industry-recogned training – trust the Institute with your future!

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Upcoming Big Data Hadoop Batches In Hyderabad

01-09-2025
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
03-09-2025
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
05-09-2025
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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