Hadoop Course in OMR provides comprehensive learning opportunities in Hadoop, a key technology for big data processing and analytics. Our course covers Hadoop fundamentals, including HDFS, MapReduce, Hive, and Pig, along with hands-on projects. With a focus on real-world applications, participants gain practical skills. The training also includes certification preparation and placement assistance. Join our Hadoop Training Institute in OMR to become proficient in this in-demand technology. Enroll in our Hadoop Course with Certifications and Placements to gain the skills needed for a thriving career in big data.
Hadoop Training in OMR
DURATION
1 Months
Mode
Live Online / Offline
EMI
0% Interest
Let's take the first step to becoming an expert in Hadoop Training in OMR
100% Placement
Assurance
What this Course Includes?
- Technology Training
- Aptitude Training
- Learn to Code (Codeathon)
- Real Time Projects
- Learn to Crack Interviews
- Panel Mock Interview
- Unlimited Interviews
- Life Long Placement Support
Want more details about the Hadoop Training in OMR?
Course Schedules
Course Syllabus
Course Fees
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Breakdown of Hadoop Training in OMR Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
October 2024
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)
October 2024
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Save up to 20% in your Course Fee on our Job Seeker Course Series
Syllabus for The Hadoop Training in OMR
Introduction to Hadoop
1
- Hadoop Distributed File System
- Hadoop Architecture
- MapReduce & HDFS
Hadoop Eco Systems
2
- Introduction to Pig
- Introduction to Hive
- Introduction to HBase
- Other eco system Map
Hadoop Developer
3
- 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
4
- 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 Learning Hadoop Training in OMR
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.
Reason to choose SLA for Hadoop Training in OMR
- SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
- Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
- Instructor led Online and Offline Training. No recorded sessions.
- Gain practical Technology Training through Real-Time Projects.
- Best state of the art Infrastructure.
- Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
- In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
- Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
- Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
- Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
- Panel Mock Interviews
- Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
- Unlimited Interview opportunities until you get placed.
- 1000+ hiring partners.
- Enjoy Lifelong placement support at no cost.
- SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
- Enjoy affordable fees with 0% EMI options making quality training affordable to all.
Highlights of The Hadoop Training in OMR
What is Hadoop?
1.
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?
2.
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?
3.
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?
4.
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?
5.
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?
6.
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.
7.
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.
Who are our Trainers for The Hadoop Training in OMR?
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.
What Modes of Training are available for Hadoop Training in OMR?
Offline / Classroom Training
- 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
- 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
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
Certifications
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Project Practices for The Hadoop Training in OMR
Supply Chain Optimization
Develop a Hadoop-based system to optimize supply chain operations by analyzing inventory, logistics, and demand data
Predictive Maintenance
Use Hadoop to analyze sensor data from machinery to predict maintenance needs and prevent breakdowns.
IoT Data Processing
Build a Hadoop solution for processing and analyzing data from Internet of Things (IoT) devices for smart home or industrial applications.
Log Analysis
Develop a Hadoop-based system to analyze server logs for troubleshooting, performance optimization, and security monitoring.
Social Media Analytics
Use Hadoop to analyze social media data for sentiment analysis, trend detection, and user behavior analysis.
Healthcare Data Analysis
Develop a Hadoop solution for analyzing healthcare data to improve patient care and outcomes.
Fraud Detection System
Create a Hadoop-based system to detect fraudulent activities in financial transactions or online activities.
E-commerce Recommendation System
Build a recommendation engine using Hadoop to suggest products based on user behavior and preferences.
Big Data Analytics
Develop a Hadoop-based system to analyze large datasets for insights, trends, and patterns.
The SLA way to Become
a Hadoop Training in OMR Expert
Enrollment
Technology Training
Realtime Projects
Placement Training
Interview Skills
Panel Mock
Interview
Unlimited
Interviews
Interview
Feedback
100%
IT Career
Placement Support for a Hadoop Training in OMR
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Free 100% Placement Support
Aptitude Training
from Day 1
Interview Skills
from Day 1
Softskills Training
from Day 1
Build Your Resume
Build your LinkedIn Profile
Build your GitHub
digital portfolio
Panel Mock Interview
Unlimited Interviews until you get placed
Life Long Placement Support at no cost
FAQs for
The Hadoop Training in OMR
Why opt for SLA as your preferred Hadoop Training Institute in OMR?
1.
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?
2.
Yes, SLA offers EMI options for students with 0% interest to make the training more financially manageable.
Does SLA have any other branch?
3.
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?
4.
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?
5.
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?
6.
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?
7.
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?
8.
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?
9.
We accept all sort of major payment methods like cash, credit cards (Visa, Maestro, Master card), Netbanking, etc
I have more queries?
10.
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 Training in OMR
Our Hadoop Training in Chennai has the best curriculum among other IT institutes ever. Our institute is located in the hub of IT companies, which creates abundance of opportunities for candidates.. Our Hadoop course syllabus will teach you topics that no other institute will teach. Enroll in our Hadoop training to explore some innovative Top project ideas for the Hadoop.
1.
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.
2.
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.
3.
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.