Join Our 100% Job-Guaranteed Hadoop Course in OMR. We Provide Quality Hadoop training with an affordable Cost in OMR. Our Hadoop Syllabus Covers the Hadoop architecture, HDFS, MapReduce, data ingestion, and ecosystem tools like Hive, Pig, Sqoop, Flume, and HBase. At Softlogic Systems, you’ll earn globally recognized certifications, build real-time projects, and receive complete placement assistance to launch a successful career in your chosen field.
Hadoop Training In Omr
4.90
(54596)
DURATION
1 Months
EMI
0% Interest
Mode
Live Online / Offline
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Course Schedules
Course Syllabus
Course Fees
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Fees, Duration & Batch Timings for Hadoop Course
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
June 2026
Week days
(Mon-Fri)
Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
Course Fee
June 2026
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Course Fee
Save up to 20% in your Course Fee on our Job Seeker Course Series
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Syllabus of Hadoop Course
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Introduction to Hadoop
- Hadoop Distributed File System
- Hadoop Architecture
- MapReduce & HDFS
Hadoop Eco Systems
- Introduction to Pig
- Introduction to Hive
- Introduction to HBase
- Other eco system Map
Hadoop Developer
- Moving the Data into Hadoop
- Moving The Data out from Hadoop
- Reading and Writing the files in HDFS using java program
- The Hadoop Java API for MapReduce
- Mapper Class
- Reducer Class
- Driver Class
- Writing Basic MapReduce Program In java
- Understanding the MapReduce Internal Components
- Hbase MapReduce Program
- Hive Overview
- Working with Hive
- Pig Overview
- Working with Pig
- Sqoop Overview
- Moving the Data from RDBMS to Hadoop
- Moving the Data from RDBMS to Hbase
- Moving the Data from RDBMS to Hive
- Flume Overview
- Moving The Data from Web server Into Hadoop
- Real Time Example in Hadoop
- Apache Log viewer Analysis
- Market Basket Algorithms
Big Data Overview
- Introduction In Hadoop and Hadoop Related Eco System.
- Choosing Hardware For Hadoop Cluster nodes
- Apache Hadoop Installation
- Standalone Mode
- Pseudo Distributed Mode
- Fully Distributed Mode
- Installing Hadoop Eco System and Integrate With Hadoop
- Zookeeper Installation
- Hbase Installation
- Hive Installation
- Pig Installation
- Sqoop Installation
- Installing Mahout
- Horton Works Installation
- Cloudera Installation
- Hadoop Commands usage
- Import the data in HDFS
- Sample Hadoop Examples (Word count program and Population problem)
- Monitoring The Hadoop Cluster
- Monitoring Hadoop Cluster with Ganglia
- Monitoring Hadoop Cluster with Nagios
- Monitoring Hadoop Cluster with JMX
- Hadoop Configuration management Tool
- Hadoop Benchmarking
Objectives of Hadoop Training
The objectives of learning Hadoop Training in OMR include
- Understand the basics of Hadoop and its ecosystem.
- Learn to work with Hadoop Distributed File System (HDFS).
- Gain proficiency in MapReduce programming for big data processing.
- Explore Apache Hive and Apache Pig for data querying and analysis.
- Understand Hadoop cluster management and administration.
- Learn about other components of the Hadoop ecosystem like Apache Spark and HBase.
- Develop skills to design and implement big data solutions using Hadoop.
Why Softlogic Systems is the Best Choice for Hadoop Training – Learn, Practice, and Get Placed!
Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
Benefit from Softlogic’s strong recruiter network for faster job placement.
No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
Want to Speak to a Trainer about Hadoop?Request a Free Callback
Highlights of Hadoop Course
What is Hadoop?
Hadoop is a tool for storing and processing big data across many computers. It has two main parts: HDFS for storage and MapReduce for processing. It’s used for tasks like data analysis and storing large datasets.
What are the reasons for learning Hadoop?
Learning Hadoop is valuable because it helps you:
- Manage large amounts of data easily.
- Scale up your data processing as needed.
- Save costs by using standard hardware.
- Work with different types of data.
- Meet the high demand for Hadoop skills.
What are the prerequisites for learning Hadoop?
Our Hadoop Course in OMR doesn’t require any specific prerequisites. However, having some knowledge of UNIX, SQL, and Java can help you grasp big data and Hadoop concepts more effectively.
Our Hadoop Training in OMR is suitable for:
- Students
- Professionals changing careers
- IT professionals improving skills
- Programmers keen to learn
- Job seekers
What are the course fees and duration?
The fees for our Hadoop Course in OMR vary based on the program level (basic, intermediate, or advanced) and the course format (online or in-person). Generally, the Hadoop Course Fees in OMR are around 25,000 INR for a 1-month duration, including international certification. For exact and current information on fees, duration, and certification, please contact our Hadoop Training Institute in OMR directly.
What are some job roles related to Hadoop?
Here are some job roles related to Hadoop:
- Hadoop Developer: Designs and develops Hadoop applications.
- Big Data Engineer: Builds large-scale data processing systems using Hadoop.
- Data Scientist: Analyzes complex data using Hadoop for insights.
- Data Analyst: Uses Hadoop to analyze data for decision-making.
- Hadoop Administrator: Manages Hadoop clusters for performance and security.
- Big Data Architect: Designs big data solutions using Hadoop.
What is the salary range for Hadoop?
A fresher Hadoop Developer, with less than three years of experience, earns an average salary of ₹4,00,000 Lakhs per year. A mid-career Hadoop Developer, with 4-9 years of experience, earns an average salary of ₹8,30,000 Lakhs per year. An experienced Hadoop Developer, with 10-20 years of experience, earns an average salary of ₹20,30,000 Lakhs per year.
List a few Hadoop real-time applications.
Here are some real-time applications of Hadoop in different industries:
- Retail: Used for analyzing customer behavior and managing inventory.
- Finance: Used for fraud detection and analyzing market trends.
- Healthcare: Used for analyzing patient data and managing medical records.
- Telecommunications: Used for analyzing network data and optimizing network performance.
- Manufacturing: Used for predictive maintenance and supply chain optimization.
Boost Your Skills with Our Hadoop Training Experts
Our Mentors are from Top Companies like:
- Our Hadoop Training in OMR is led by trainers with a minimum of 5 years of hands-on experience in Hadoop development and implementation.
- They possess deep industry knowledge, staying updated with the latest trends and best practices in Hadoop to provide relevant and practical training.
- Our trainers hold relevant certifications in Hadoop and related technologies, ensuring they are well-equipped to teach and guide students effectively.
- They have a proven track record of effectively teaching Hadoop, with a history of successful student outcomes and projects.
- Trainers use an interactive teaching style, engaging students and encouraging active participation in the learning process.
- The training emphasizes practical skills, providing hands-on experience with real-world Hadoop projects and exercises.
- Trainers provide regular feedback and support to students, helping them improve their Hadoop skills and overcome challenges.
- They have strong industry connections, providing students with networking opportunities and valuable insights into the industry.
- Trainers offer career guidance and advice, helping students navigate the Hadoop job market and secure rewarding positions.
- They promote a culture of continuous learning, encouraging students to stay updated with the latest developments in Hadoop even after completing the training.
Want to Speak to a Trainer about Hadoop?Request a Free Callback
What Modes of Training are available for Hadoop Course?
Offline / Classroom Training
A Personalized Learning Experience with Direct Trainer Engagement!
- Direct Interaction with the Trainer
- Clarify doubts then and there
- Airconditioned Premium Classrooms and Lab with all amenities
- Codeathon Practices
- Direct Aptitude Training
- Live Interview Skills Training
- Direct Panel Mock Interviews
- Campus Drives
- 100% Placement Support
Online Training
Instructor Led Live Training! Learn at the comfort of your home
- No Recorded Sessions
- Live Virtual Interaction with the Trainer
- Clarify doubts then and there virtually
- Live Virtual Interview Skills Training
- Live Virtual Aptitude Training
- Online Panel Mock Interviews
- 100% Placement Support
Corporate Training
Blended Delivery model (both Online and Offline as per Clients’ requirement)
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
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Certifications
Take your career to new heights with Softlogic's software training certifications.
Improve your abilities to get access to rewarding possibilities
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with Certifications
Get a certifications through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.
Hands-on Project Practices in Hadoop Course
Supply Chain Optimization
Predictive Maintenance
IoT Data Processing
Log Analysis
Social Media Analytics
Healthcare Data Analysis
Fraud Detection System
E-commerce Recommendation System
Big Data Analytics
The SLA Way to Get Placed in Top IT Companies
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Technology Training
Coding Practices
Realtime Projects
Realtime Projects
Placement Training
Aptitude Training
Interview Skills
Interview Skills
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SLA Institute provides a structured learning environment for data analytics. The syllabus is relevant, and trainers are knowledgeable. Some sessions were very useful practically, while…
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Special thanks to Vishal Sir, the Placement Officer, for his interview guidance, resume support, and continuous motivation throughout the placement process. I would also like…
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Discover What Our Students Have To Say
See More ReviewsPlacement Support for a Hadoop Job
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Aptitude Training
from Day 1
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Softskills Training
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Build Your Resume
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Panel Mock Interview
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FAQs
Why opt for SLA as your preferred Hadoop Training Institute in OMR?
Choose SLA as your preferred Hadoop Training Institute in OMR for its expert-led training, hands-on learning, guaranteed placement guidance, flexible scheduling, and personalized support. Our program guarantees your success in mastering Hadoop.
Does SLA provide EMI options for students?
Yes, SLA offers EMI options for students with 0% interest to make the training more financially manageable.
Does SLA have any other branch?
SLA operates two branches, one in K.K. Nagar and the other in OMR Navalur, providing students with convenient access to their training centers.
Is Hadoop easy to learn?
Learning Hadoop’s difficulty depends on your background. For those familiar with programming and data concepts, it may be easier. However, newcomers might find it challenging due to its various technologies and concepts in distributed computing and big data.
Is Hadoop a good career option?
Hadoop and SQL are used for different purposes. Hadoop is ideal for handling large datasets, while SQL is for querying and managing relational databases. The choice between them depends on the specific needs of the data processing task.
Is Hadoop a Python or Java?
Hadoop is primarily written in Java and is designed to be used with Java. However, there are also Python libraries and tools, such as Pydoop and Hadoop Streaming, that allow Python developers to interact with Hadoop and write MapReduce programs in Python.
How does the placement team at SLA support us?
The placement team at SLA enhances your job prospects by providing comprehensive support. Whether you’re a certified student looking to switch careers or entering the workforce for the first time, you’ll receive extensive assistance through our placement services. SLA offers the following premium services as part of our placement support:
- Resume building
- Career guidance and advising
- Interview practice sessions
- Career expos
What accreditation will I get once the course is completed?
Upon completion of SLA’s training, you will be awarded with globally recognized course completion certificates from SLA, renowned IBM certificates, and Codeathon certificates, validating your real-time project experience.
What are the different payment options available?
We accept all sort of major payment methods like cash, credit cards (Visa, Maestro, Master card), Netbanking, etc
I have more queries?
Please contact our course counselor by call or Whatsapp at +91 86818 84318. As an alternative, you can use our Website chat, Website form, or email us at [email protected]
Additional Information for
the Hadoop Course
Importance of Hadoop:
Hadoop plays a crucial role in the big data landscape, enabling organizations to store, process, and analyze massive volumes of data. Its distributed computing model allows for scalability and fault tolerance, making it ideal for handling the large datasets generated by modern applications and devices.
Future Perspectives:
The future of Hadoop looks promising, with the demand for big data processing and analytics continuing to grow. As more organizations adopt cloud computing and IoT technologies, the need for scalable and efficient data processing solutions like Hadoop will increase. Additionally, advancements in Hadoop ecosystem tools, such as Apache Spark and Apache Flink, are making Hadoop even more versatile and powerful.
Scope and Opportunities:
The scope of Hadoop extends across various industries, including finance, healthcare, retail, and more. Professionals with Hadoop skills can find opportunities as data engineers, data analysts, and data scientists, among others. As the volume and complexity of data continue to increase, the demand for Hadoop professionals is expected to remain strong.
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