What You'll Learn
Big Data and Hadoop Training in Kalyan Nagar provides a comprehensive learning experience that covers the entire big data lifecycle.
You will gain hands-on experience with HDFS, MapReduce, Hive, Pig, HBase, Sqoop, and Apache Spark to handle, process, and analyze massive datasets.
Learn the fundamentals of data ingestion, ETL pipelines, distributed computing, and data warehousing using Hadoop components.
Big Data and Hadoop Course in Kalyan Nagar performance tuning, data modeling, and job optimization for efficient big data processing.
Real-time projects and lab activities will enhance your data processing, debugging, and deployment skills.
Mock interviews, resume sessions, and industry-aligned career support prepare you for roles in data engineering and big data analytics.
Hadoop Training Objectives
- Yes, as part of our curriculum we give you 1 standardized test to prepare for the training course CCA 175 Hadoop.
- In order to understand the type of study that is part of the learning environment, you can try this complimentary big data and Hadoop development firm test.
- Big Data Hadoop Certification Training is created to make you a certified big data psychotherapist by industry specialists.
- The Hadoop Big Data course provides : The categorical imperative of Big Data and Hadoop which would include HDFS, YARN (Another Resource Negotiator), and MapReduce (Hadoop Distributed File System).
- Complete and accurate knowledge of different tools such as Pig, Hive, Sqoop, Flume, Oozi, and HBase that fall into the Hadoop ecosystem.
- The possibility for the input of HDFS data with Sqoop & Flume and the analysis of large HDFS datasets.
- Know how to work with MapReduce storage & resource planning and learn the concepts of HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator).
- MapReduce Framework Understanding.
- Use MapReduce to implement complex business solutions.
- Learn Sqoop and Flume data intake techniques.
- Conduct Pig and Hive ETL transactions & data analytics.
- Partitioning, theory of aging and hive indexing implementation.
In order to understand the significantly higher amount of data, the following predictions :
- At a CAGR of 42.1 percent, the Hadoop Market should currently reach $99.31B - Forbes McKinsey forecasts a shortage of 1.5M data professionals in current.
- Big Data Hadoop Applications' Average salary is $97k.
- Makes master concepts easier, provides mastery of principles, the software products of machine education and algorithms, acquire mathematical and heuristic knowledge, takes concepts and operations into account of various new machines, and can provide hdfs and map reduction systems technologies.
- We offer extensive knowledge in various ways and practical meetings to witness projects that are ongoing.
- Guidance can be considered to be your important part of gaining practical competence.
- Yes, practical project teams are to be prepared regularly through the live video streaming workshops and theoretical tasks.
- You receive a certificate of completion of the course upon successful completion.
- You will be required to work on an Android application, and you will receive detailed construction details.
- Your project is examined by an expert and you receive a certificate that assesses your work if it is considered satisfactory.
- If the first attempt is unsatisfactory for your project, you can take additional help and work on it without any additional cost.
- There is no previous experience in Hadoop.
- Fundamental programming knowledge, although not a requirement to attend this course, is also desirous of fundamental knowledge about the Microsoft Windows platform.
- However, we can give you a more sophisticated project, based on your skills, if you are already exposed to Hadoop.
You will be able to interpret after having completed our course :
- Big data requirements and their business applications.
- Different data types used for extracting big data.
- Hadoop's basics including HDF and MapReduce fundamental principles.
- How the Hadoop Ecosystem is navigated.
- How to analyze big data using the various tools and techniques?
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Big Data and Hadoop Course Benefits
Our Big Data and Hadoop Certification Course in Kalyan Nagar focuses on building practical expertise using real-world datasets and modern big data tools. You’ll master both core and advanced components of Hadoop while working on industry scenarios. The course includes portfolio-building projects, weekly hands-on evaluations, and continuous code reviews. With resume building, mock interviews, and Big Data and Hadoop Internship in Kalyan Nagar for competitive roles in data engineering and analytics-driven companies.
- Designation
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Annual SalaryHiring Companies
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About Your Big Data and Hadoop Certification Training
Our Big Data and Hadoop Training in Kalyan Nagar is thoughtfully designed for students, fresh graduates, and working professionals who are eager to gain practical, hands-on experience. Big Data and Hadoop Projects in Kalyan Nagar you’ll explore core Hadoop components like HDFS, YARN, MapReduce, Pig, Hive, HBase, Flume, Sqoop, and Spark in great depth. Big Data and Hadoop Course With Placement interactive instructor-led coding sessions, real-world labs, and live project implementations that mirror industry scenarios.
Top Skills You Will Gain
- HDFS & YARN
- MapReduce Programming
- Hive & Pig Scripting
- HBase & NoSQL Integration
- Apache Sqoop & Flume
- Apache Spark & Spark SQL
- Data Ingestion & ETL Workflows
- Cluster Management & Tuning
12+ Big Data and Hadoop Tools
Online Classroom Batches Preferred
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Not Just Studying
We’re Doing Much More!
Empowering Learning Through Real Experiences and Innovation
Big Data and Hadoop Course Curriculam
Trainers Profile
Our Hadoop instructors are certified data engineering professionals with rich industry experience in managing distributed data systems. Having worked on real-time analytics platforms and cloud big data pipelines, they bring enterprise project insights to the training. Trainers conduct live demos, hands-on labs, and mentorship sessions to ensure learners grasp data flow, cluster operations, and performance tuning. They also assist with project guidance, mock interviews, and post-training career consultation.
Syllabus for Big Data and Hadoop Course Download syllabus
- What is Big Data? Characteristics and Challenges
- Traditional vs. Big Data Architecture
- Hadoop Ecosystem Overview
- Hadoop Distributed File System (HDFS) Fundamentals
- Hadoop Use Cases in Real-world Applications
- HDFS Architecture and Data Flow
- NameNode, DataNode, and Secondary NameNode Explained
- Block Storage and Replication Mechanism
- File Read/Write Operations in HDFS
- HDFS Command Line Operations and Permissions
- Introduction to MapReduce Framework
- Writing a Basic MapReduce Job in Java
- InputFormat, OutputFormat, and RecordReader Concepts
- Combiner, Partitioner, and Counters in MapReduce
- MapReduce Optimization Techniques
- Hive Architecture and Metastore
- Creating Databases and Tables in Hive
- HiveQL – Queries, Joins, and Grouping
- Partitioning and Bucketing for Performance
- Integrating Hive with HDFS and Other Tools
- Introduction to Pig and Pig Latin
- Loading and Transforming Data using Pig
- Writing Scripts and User Defined Functions (UDFs)
- Pig vs Hive – When to Use What
- Debugging and Optimizing Pig Scripts
- Overview of NoSQL and HBase Architecture Creating and Managing Tables in HBase Data Retrieval using HBase Shell and Java APIs HBase Data Model – Column Families and Cells Integrating HBase with Hive and MapReduce
- Data Ingestion Overview and Use Cases
- Importing Data with Sqoop (RDBMS to HDFS)
- Exporting Data from HDFS to RDBMS
- Streaming Data Ingestion using Flume
- Real-time Log Collection and Flume Configuration
- YARN Architecture
- Job Scheduling and Resource Allocation
- Configuring and Tuning Hadoop Cluster
- Monitoring Hadoop with Web UI and Logs
- High Availability and Fault Tolerance in YARN
- Introduction to Apache Spark and RDDs
- Spark vs. MapReduce – Key Differences
- Working with Spark Core and Spark SQL
- Running Spark on Hadoop Cluster (YARN)
- Real-time Processing with Spark Streaming
- End-to-End Hadoop Project Development
- Version Control with Git and Collaborative Workflow
- Resume Preparation with Hadoop Project Highlights
- Technical Interview Practice Sessions
- Placement Assistance and Mock Interviews
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WhatsApp (For Call & Chat):
+91 89259 58912
Industry Projects
Exam & Big Data and Hadoop Certification
At LearnoVita, You Can Enroll in Either the instructor-led Hadoop Online Course, Classroom Training or Online Self-Paced Training.
Hadoop Online Training / Class Room:
- Participate and Complete One batch of Hadoop Training Course
- Successful completion and evaluation of any one of the given projects
Hadoop Online Self-learning:
- Complete 85% of the Hadoop Certification Training
- Successful completion and evaluation of any one of the given projects
These are the Different Kinds of Certification levels that was Structured under the Cloudera Hadoop Certification Path.
- Cloudera Certified Professional - Data Scientist (CCP DS)
- Cloudera Certified Administrator for Hadoop (CCAH)
- Cloudera Certified Hadoop Developer (CCDH)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LernoVita Hadoop Certification Training in Kalyan Nagar That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Our learners
transformed their careers
A majority of our alumni
fast-tracked into managerial careers.
Get inspired by their progress in the Career Growth Report.
Our Student Successful Story
How are the Big Data and Hadoop Course with LearnoVita Different?
Feature
LearnoVita
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher Big Data and Hadoop Fees With Limited Payment Options.
Live Class From ( Industry Expert)
Well Experienced Trainer From a Relevant Field With Practical Big Data and Hadoop Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant Big Data and Hadoop Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world Big Data and Hadoop Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized Big Data and Hadoop Certifications With Global Validity.
Basic Big Data and Hadoop Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
Additional Features
Lifetime Access to Big Data and Hadoop Course Materials, Alumni Network, and Hackathons.
No Additional Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
Big Data and Hadoop Training Course FAQ's
- LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
- Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
- Our Placement Cell aids students in securing interviews with major companies such as Big Data and Hadoop Training , HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One , Infosys, MindTree, and MPhasis, among others.
- LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
- We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
- Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
- Build a Powerful Resume for Career Success
- Get Trainer Tips to Clear Interviews
- Practice with Experts: Mock Interviews for Success
- Crack Interviews & Land Your Dream Job


















Regular 1:1 Mentorship From Industry Experts