Hadoop Training in Tambaram
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18975 Ratings
4.7/5
6,028 Reviews
174 Reviews
440 Reviews
4.8/5
6,028 Reviews
174 Reviews
440 Reviews
4.8/5
6,028 Reviews
174 Reviews
440 Reviews
- Join Hadoop Course in Tambaram to Gain In-Demand Big Data Skills and Expertise in Data Processing.
- Flexible Learning Options Available – Choose from Weekday, Weekend, or Online Hadoop Training Sessions.
- Get Trained by Industry at the Leading Hadoop Training Institute in Tambaram with Real-Time Projects.
- Master Core Modules Including HDFS, MapReduce, Hive, Pig, Sqoop, and Apache Spark.
- Work on Live Projects, Hands-On Labs, and Practical Assignments for Real-World Experience.
- Career Support with Interview Preparation, Resume Guidance, and Placement Assistance.
Course Duration
55+ HrsLive Project
3 ProjectCertification Pass
GuaranteedTraining Format
Live Online (Expert Trainers)
11682+
Professionals Trained
11+
Batches every month
3178+
Placed Students
247+
Corporate ServedWhat You'll Learn
The whole big data lifecycle is covered in-depth by Hadoop Training in Tambaram, which makes use of Apache Hadoop ecosystem technologies.
In order to manage, process, and analyze large datasets, you will obtain practical expertise with HDFS, MapReduce, Hive, Pig, HBase, Sqoop, and Apache Spark.
Hadoop Course in Tambaram of distributed computing, data warehousing, ETL pipelines, and data intake using Hadoop components.
For effective big data processing, comprehend data modeling, cluster configuration, performance tuning, and job optimization.
Lab exercises and real-time projects will improve your debugging, deployment, and data processing abilities.
You are prepared for positions in data engineering and big data analytics through resume workshops, mock interviews, and industry-related career assistance.
Hadoop Training Objectives
- Hadoop provides the power of distributed computing and assigned storage. In rough words, it is one of the programs to make a super-computer (In a cost-efficient practice). Hadoop framework permits you to use the area and computing ability of 100s of computers efficiently.
- The end-user can understand that he is communicating with 1 network and doing number/storage only on one method. One must possess both the power of Hadoop - Distributed Storage & Distributed Computing.
- Hadoop is not a database, it is software that is open-source to control a large number of structured and semi-structured data. It is originally designed for high data processes that direct all the individual records of the database.
- Hadoop is perfect for the slow and constant pace of work where fast appearance is not critical, for example reviewing daily transaction statements, scanning of historical data, and implementing analytics where a more moderate time-to-insight is adequate.
- Hadoop certainly secures over traditional databases in the features of normalization and scalability. Big companies like Facebook, Google uses Hadoop to collect, store, and manage colossal data sets.
- The scope of Hadoop is growing in the future. Most of the big businesses are running in Hadoop for Data reviews such as Google, Facebook, Linkedin, and many more.
- But shortly Hadoop is not permanent, new technologies in this domain are coming day by day. Even Java needed time to get steady in the business and as we know now java is a constant language. In the coming years, Hadoop will also get permanent and will be the best technology for Data Analysis.
- Yes, fresher have a great opportunity in the range of Big Data & Hadoop. I would suggest you first get a certification before beginning the job hunt.
- This will give you a more powerful hand while hunting or applying for a Hadoop entry-level job and following you’ll also be capable to test to experience & abilities in dealing with real-time problems.
- I would especially recommend you to attempt Hadoop & Spark Developer Certification (CCA 175) as most of the organizations are using Cloudera distribution.
- Hadoop is the guide platform that has caused the wave of Big Data. It has performed its role and now also powerful programs like- Spark, Flink, etc. have appeared on the technology roadmap.
- In the technology business, change is a constant feature.
- With an ever-growing market and better change, a technology like Hadoop became sidelined and relaxed way to more innovative solutions.
- It is a reasonable distance from Hadoop’s life cycle.
- Yes. MapReduce is being/has been succeeded by Spark and, as a database, there is no singular reason for choosing Hadoop compared to the several other NoSQL choices. Indeed, the provider for multi-model capabilities submitted by various other NoSQL conditions provides a possibly richer environment than can be submitted by Hadoop.
- Further, with Cloudera practicing over HortonWorks and reports about the future of MapR, then financial support for Hadoop is looking short. I should add that I have reviewed this with various other investigators, from various firms, and this is a consent view, not just my own.
- Hadoop sucks for businesses that do not match the map-reduce programming model
- And this suggests that most machine knowledge responsibilities that have the iterative model of gathering towards an answer will make it unwell on it.
- The reason is that the picture phase communicates its results to the reduced phase using HDFS. This specific file-system warmth provides fault tolerance but it is high and very quiet
- It is worse for the iterative machine training tasks because an HDFS heat and following HDFS read by reducers for every repetition destroys performance.
- Hadoop is a java based structure, it is an open-source frame. Hadoop is used for collecting and processing big data
- In Hadoop data is stored on inexpensive materials servers that run as groups.
- It is a divided file system that allows concurrent processing and mistake tolerance.
- Hadoop is very helpful for big business because it is based on competitive servers so needed less cost to collect the data and processing the data
- Hadoop serves to make a better business arrangement by providing an account of data and several records of the company, So by using this technology company can develop its business.
- Hadoop does many of processing overhandled data from the organization to assume the result which can accommodate to make a future judgment.
- Hadoop is an open-source software program that provides many software products to work on top of it like HDFS, MapReduce, HBase, and even Spark.
- So, Spark is a member of the Hadoop ecosystem although it can also operate separately and also on other data accommodations.
- While Spark is a batch computing framework in its right, it is mainly used for streaming data processing.
- Big Data and Hadoop is an open-source software structure used for collecting and treating Big Data in a diffused manner on large batches of commodity devices. Hadoop was developed, based on the article written by Google on the MapReduce system and it employs concepts of functional programming.
- It is very challenging to master every device, technology, or programming language.
- So, when in knowledge mode, learners or professionals always choose to read the technology that has the potential for a high-paying job and has demonstrated value among many users. Hadoop is one such technology.
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Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Benefits of Hadoop Course
Using real-world datasets and cutting-edge big data tools, our Hadoop Certification Course in Tambaram focuses on developing practical competence. Hadoop Internship in Tambaram Working in real-world business settings, you will become proficient in both Hadoop's fundamental and more complex features. Portfolio-building assignments, weekly practical assessments, and ongoing code reviews are all part of the course.
- Designation
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Annual SalaryHiring Companies
About Your Hadoop Training
For students, recent graduates, and working professionals who are keen to obtain real-world, hands-on experience, our Hadoop Training in Tambaram has been carefully planned. Hadoop Projects in Tambaram examine key Hadoop components such as HDFS, YARN, MapReduce, Pig, Hive, HBase, Flume, Sqoop, and Spark during the course of the class. Hadoop Course With Placement interactive instructor-led coding sessions, and live project implementations that mimic real-world industry situations are all part of the program.
Top Skills You Will Gain
- HDFS
- MapReduce Programming
- Hive
- NoSQL Integration
- Apache Sqoop
- Apache Spark
- Spark SQL
- Data Ingestion
12+ Hadoop Tools
Cloudera
Apache Hadoop
Apache Hive
Apache Spark
HBase
Sqoop
Ambari
Eclipse
Jupyter Notebooks
Zeppelin
Git & GitHub
Apache Oozie
Online Classroom Batches Preferred
Weekdays (Mon - Fri)
17 - Nov - 2025
08:00 AM (IST)
Weekdays (Mon - Fri)
19 - Nov - 2025
08:00 AM (IST)
Weekend (Sat)
22 - Nov - 2025
11:00 AM (IST)
Weekend (Sun)
23 - Nov - 2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹18000
₹14500
10% OFF Expires in
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Why Hadoop Course From Learnovita? 100% Money Back Guarantee
Hadoop Course Curriculum
Trainers Profile
Our Hadoop lecturers have extensive industry expertise handling distributed data systems and are qualified data engineering professionals. They bring insights from enterprise projects to the training, having worked on cloud big data pipelines and real-time analytics platforms. To make sure students understand data flow, cluster operations, and performance optimization, trainers lead mentorship sessions, practical laboratories, and live demonstrations. They also help with mock interviews, project guidance, and career counseling after training.
Syllabus for 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 – ResourceManager and NodeManager
- 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
- Pig Installation
- Execution Types
- Grunt Shell
- Pig Latin
- Data Processing
- Schema on read
(15)
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Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Industry Projects
Career Support
Our Hiring Partner
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Exam & 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
Honestly Yes, LearnoVita Provide 1 Set of Practice test as part of Your Hadoop Certification Course in Tambaram. It helps you to prepare for the actual Hadoop Certification Training exam. You can try this free Hadoop Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
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 Tambaram 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.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Hadoop Developers.
Our Student Successful Story
Regular 1:1 Mentorship From Industry Experts
Live Classes
Career Support
Sandeep Kumar D
Software Engineer, Cisco Systems )
It was a great learning experience. LearnoVita Hadoop Trainers had provided relevant examples truly enjoyed the sessions, I wholeheartedly thank the Training & Placement Cell for the constant support
Vinoth P
UI Developer, TCS
I would like to appreciate the placement cell at LearnoVita for the efforts they made for providing a fair and ample amount of chances to me. boot-camps and extra classes for us to enhance our technical and interpersonal skills from this Hadoop Training.
Vijeyalakshme kannan
QA Engineer, Amazon Development Center
I feel great studying at LearnoVita and getting the great opportunity as well as support from faculties & placement officers from this Hadoop Course in Tambaram. It is dream come true, being an IT engineer
Pranav Srinivas
Software Testing, Capgemini
My sincere appreciation & gratitude to the Hadoop Training with Placement Department and all staff of LearnoVita for their efforts in imparting quality technical and aptitude training. I am very grateful to them for effectively and sincerely helping me to grab the first-ever opportunity that came into my life.
Prasanna
SAP Admin, HCL
I am very Thankful to the faculties of LearnoVita as they are very much supportive, helpful and the Placement Cell which is also doing great job by arranging excellent placements of MNCs & good corporate exposure is given to students.
How are the Hadoop Course with LearnoVita Different?
Feature
LearnoVita
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher Hadoop Fees With Limited Payment Options.
Live Class From ( Industry Expert)
Well Experienced Trainer From a Relevant Field With Practical Hadoop Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant Hadoop Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world Hadoop Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized Hadoop Certifications With Global Validity.
Basic 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 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.
Hadoop Course FAQ's
Certainly, you are welcome to join the demo session. However, due to our commitment to maintaining high-quality standards, we limit the number of participants in live sessions. Therefore, participation in a live class without enrollment is not feasible. If you're unable to attend, you can review our pre-recorded session featuring the same trainer. This will provide you with a comprehensive understanding of our class structure, instructor quality, and level of interaction.
All of our instructors are employed professionals in the industry who work for prestigious companies and have a minimum of 9 to 12 years of significant IT field experience. A great learning experience is provided by all of these knowledgeable people at LearnoVita.
- 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 Oracle, 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.
LearnoVita Certification is awarded upon course completion and is recognized by all of the world's leading global corporations. LearnoVita are the exclusive authorized Oracle, Microsoft, Pearson Vue, and Hadoop I exam centers, as well as an authorized partner of Hadoop . Additionally, those who want to pass the National Authorized Certificate in a specialized IT domain can get assistance from LearnoVita's technical experts.
As part of the training program, LearnoVita provides you with the most recent, pertinent, and valuable real-world projects. Every program includes several projects that rigorously assess your knowledge, abilities, and real-world experience to ensure you are fully prepared for the workforce. Your abilities will be equivalent to six months of demanding industry experience once the tasks are completed.
At LearnoVita, participants can choose from instructor-led online training, self-paced training, classroom sessions, one-to-one training, fast-track programs, customized training, and online training options. Each mode is designed to provide flexibility and convenience to learners, allowing them to select the format that best suits their needs. With a range of training options available, participants can select the mode that aligns with their learning style, schedule, and career goals to excel in Hadoop .
LearnoVita guarantees that you won't miss any topics or modules. You have three options to catch up: we'll reschedule classes to suit your schedule within the course duration, provide access to online class presentations and recordings, or allow you to attend the missed session in another live batch.
Please don't hesitate to reach out to us at contact@learnovita.com if you have any questions or need further clarification.
To enroll in the Hadoop at LearnoVita, you can conveniently register through our website or visit any of our branches in India for direct assistance.
Yes, after you've enrolled, you will have lifetime access to the student portal's study materials, videos, and top MNC interview questions.
At LearnoVita, we prioritize individual attention for students, ensuring they can clarify doubts on complex topics and gain a richer understanding through interactions with instructors and peers. To facilitate this, we limit the size of each Hadoop Service batch to 5 or 6 members.
The average annual salary for Hadoop Professionals in India is 6 LPA to 7 LPA.
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