Hadoop Training in Chennai
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17256 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 the Best Hadoop Course in Chennai to Master Big Data Processing and Distributed Computing Techniques.
- Top Hadoop Training Institute in Chennai Offering Flexible Weekday, Weekend, and Fast-Track Batches.
- Get Certified in Hadoop with Hands-On Training, Real-Time Projects, and Full Placement Assistance.
- Learn HDFS, MapReduce, YARN, Hive, Pig, HBase, Sqoop, Flume, and Apache Spark Integration.
- Hands-On Practice with Live Big Data Projects and Mentorship from Certified Hadoop Professionals.
- Accelerate Your Big Data Career with Resume Support, Mock Interviews, and Role-Based Hadoop Coaching.
Course Duration
50+ HrsLive Project
3 ProjectCertification Pass
GuaranteedTraining Format
Live Online (Expert Trainers)
11258+
Professionals Trained
9+
Batches every month
2567+
Placed Students
203+
Corporate ServedWhat You'll Learn
Learn Hadoop ecosystem components like HDFS, MapReduce, and YARN in-depth.
Master big data processing and analytics with hands-on Hadoop Course in Chennai
.
Gain expertise in working with Hadoop frameworks for scalable data storage.
Understand data processing techniques using Apache Hive, Pig, and HBase.
Learn to implement and manage Hadoop clusters for real-time data analysis.
Hadoop Training in Chennai prepares you for a successful career in big data.
Hadoop Training Objectives
- 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.
- Career progression possibilities for individuals who enhance Hadoop developers are skilled
- Hadoop is amongst the major big information technologies and has a comprehensive scope in the future. Being cost-effective, scalable, and reliable, the largest of the world's largest companies are operating
- Hadoop technology to trade with their extensive data for research and production.
- Hadoop Developer Salary global is the most profitable in the field of the IT industry.
- 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.
- Certainly Yes. Hadoop works are in demand – this is an indisputable fact! Hence, there is an important need for IT specialists to keep themselves in trend with Hadoop and Big Data technologies. Apache Hadoop presents you with the means to ramp up your career.
- It is hence both wise and profitable to look for a career in Hadoop as a software developer. The active community, enterprise assistance, and growing interest among programmers show that Hadoop is set to stay the first opportunity for most companies.
- Oracle and Hadoop are various theories of collecting, processing, and retrieving information
- DBMS and RDBMS are in the literature for a long period whereas Hadoop is a new theory comparatively.
- As the storage limits and customer data area are increased enormously, processing this knowledge in a moderate amount of time shifts essential.
- Especially when it comes to information warehousing applications, business intelligence recording, and various analytical processing, it displays very challenging to implement complex reporting within a moderate amount of time as the area of the data increases exponentially as well as the increasing demands of consumers for complex review and reporting.
- 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.
- 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.
- Our Hadoop Institute in Chennai is intended to give a hands-on approach to the learners in Hadoop
- The program is made up of Both theoretical & Practical lessons that teach the basics of each module followed by high-intensity practical sessions of Completing Each Module that Related current provocations and needs of the industry that will necessitate the students’ time and commitment.
- Deep practical knowledge, Hands-on lab & Hadoop training with placement in Chennai
- Real-time project use cases & scenarios from the various Industries.
- Mock Tests and discussing various questions.
- 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 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.
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+91 89258 75257
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Hadoop Course Benefits
The Hadoop Training Institute in Chennai offers significant benefits, including hands-on experience with big data technologies like HDFS, MapReduce, and YARN. Students gain expertise in managing and analyzing vast datasets, making them highly valuable to companies. With real-time Hadoop Project in Chennai work and Hadoop Certification, learners are well-prepared for a successful career in data engineering, big data analytics, and cloud computing.
- Designation
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Annual SalaryHiring Companies
About Your Hadoop Certification Training
Our Hadoop Certification Course in Chennai provides an in-depth understanding of big data concepts, including HDFS, MapReduce, and YARN. With practical, real-world projects, students gain hands-on experience to master Hadoop’s ecosystem. We offer 100% Hadoop Course with Placement support with access to over 500+ hiring partners, ensuring excellent career opportunities for graduates. Join us to build the skills necessary to excel in the data-driven industry Hadoop Internship in Chennai.
Top Skills You Will Gain
- Data Processing
- MapReduce Programming
- HDFS Management
- YARN Configuration
- Cluster Setup
- Data Analytics
- Pig Scripting
- Hive Queries
12+ Hadoop Tools
HDFS
MapReduce
Hive
Pig
Spark
YARN
HBase
Flume
Sqoop
Oozie
Zookeeper
Mahout
Online Classroom Batches Preferred
Weekdays (Mon - Fri)
20 - Oct - 2025
08:00 AM (IST)
Weekdays (Mon - Fri)
22 - Oct - 2025
08:00 AM (IST)
Weekend (Sat)
25 - Oct - 2025
11:00 AM (IST)
Weekend (Sun)
26 - Oct - 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 Curriculam
Trainers Profile
LearnoVita trainers in available for Hadoop Online Course including 24/7 live support. The essence of the hadoop is affording recorded sessions, demos, and study materials. Our Instructors are working in Hadoop and with real time experienced for 10+ more years in MNC's . Our training will be focused on assisting in placements as well.
Syllabus of Hadoop Training in Chennai Download syllabus
- High Availability
- Scaling
- Advantages and Challenges
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- What is Big data
- Big Data opportunities,Challenges
- CharLearnoVitaristics of Big data
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- Hadoop Distributed File System
- Comparing Hadoop & SQL
- Industries using Hadoop
- Data Locality
- Hadoop Architecture
- Map Reduce & HDFS
- Using the Hadoop single node image (Clone)
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- HCatalog Installation
- Introduction to HCatalog
- About Hcatalog with PIG,HIVE and MR
- Hands on Exercises
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- 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
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- HUE.(Hortonworks and Cloudera)
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- 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)
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- 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
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Industry Projects
Career Support
Our Hiring Partner
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Phone (For Voice Call):
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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 Chennai. 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 Chennai 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 Training 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 Chennai. 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 5 LPA to 8 LPA.
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