Big Data Hadoop Training in Chennai
Login360 is the best institute to learn Big Data Hadoop courses in Chennai. This course provides job-oriented training and makes you an expert in Big Data Hadoop. We make sure that you get complete knowledge of tools like HDFS, Apache Hive, Apache Spark, Pig, Sqoop, and Flume. During this training, you will be working on real-time projects, which will help you get familiar with the tools and features of Big Data Hadoop.
Big Data Hadoop Training in Chennai
Big Data Hadoop training is an outstanding course that will make you an expert in the Hadoop Distributed File System, Hadoop Clusters, and Hadoop MapReduce.
Login360 aims to provide fundamental knowledge in the essential tools such as PIG, HDFS, Pig, Apache Hive, Java, Apache Spark, Flume, and Sqoop in the Big Data field and industrial expert design course syllabus based on the current market trend.
We provide more practical classes than theoretical ones, which helps you understand big data concepts quickly and clearly. So, enroll in the big data classes in Chennai at login360 to become a big data professional.
Big Data Hadoop Training Institute in Chennai
Login360 is the best institute for Big Data Hadoop training in Chennai. We have knowledgeable and experienced trainers to teach the updated syllabus of the Big Data course.
The big data Hadoop course is ideal for freshers and experienced candidates looking for career upskill. Here, our trainers begin the course from scratch to an advanced level.
The large company’s usage of big data makes the demand for Big Data professionals. Enroll in Big Data Hadoop certification course in Chennai, and become a certified big data professional.
Big Data Training in Chennai With Placement Support
Login360 offers a job-oriented Big Data Hadoop course with placement guidance. Here you can get detailed knowledge about Big Data with advanced lab facilities to enhance your career by learning.
One of the best courses for entering the IT field, and MNC companies need more data engineers, and here you can get job-oriented skills for the Big Data course, and you will be working on real-time projects.
We care about our students getting placed in top companies, so we conduct unique programs like mock interviews and resume buildup will undoubtedly help you get a job with a decent salary package.
Big Data Course Duration and Fees in Chennai
The Big Data Hadoop Training usually takes the following hours to complete the entire module. And it also depends upon the way you learn the course. Here we list out the Big Data Hadoop Training fee range.
| Level | Course Duration | Fees Structure |
| Basic | 2.5 - 3 Months | 4,000₹ - 8,000₹ |
| Advanced | 2.5 - 3 Months | 8,000₹ - 10,000₹ |
Courses We Offer
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Web Designing
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Java Programming
Login360 offers excellent Java training, and you will get top-notch training from qualified IT professionals here.
Software Testing
We offer the Best Software Testing training with an updated curriculum, which is designed by industry experts.
Python Programming
Enroll today in Python training in Chennai at Login360, where you can learn the required skills for web development.
Machine Learning
Login360 institute is the perfect choice if you’re looking for the finest Machine Learning training with 100% job surety.
Why Choose Login360 for Big Data Hadoop?
Login360 offers the best Big Data Hadoop training in Chennai. Our trainers are real-time working IT professionals, and they have excellent knowledge in the Big Data domain. Having real-time working professional as trainers are more beneficial for our course.
Login360 provides 100% placement guidance for Big Data Hadoop course students. We only admit a few, like 3-4 students per batch. Our trainers can focus on every student. Trainers are always available for students to clarify their doubts.
Login360 provides lab facilities and ranging infrastructure for our students with hands-on projects. Login360 will support you last until you get placed in a company.
Benefits Of Big Data Hadoop
Big data Hadoop training in Chennai will benefit you in some ways; with numerous job opportunities in various domains. One of the highest-paying jobs in the market which also helps in enhancing your personal skill development.
Login360 offers 40+ IT training courses in Chennai with trainers with more than 7+ years of experience in the IT industry.
Hands-on training
30+ hours course duration
Industry expert faculties
100% job-oriented training
Updated syllabus
Resume buildup
Mock interviews
Affordable fees structure
Job Opportunities in Big Data Hadoop
Big Data Hadoop is considered one of the most influential technologies of the future.
You can Work as a
Upcoming In-Demand Jobs
Salary in Big Data Hadoop
Big Data Engineer
₹ 4.2 LPA to 21.7 LPA
Hadoop / Big Data Developer
₹ 3.6 LPA to 10.5 LPA
Big Data Consultant
₹ 7.2 LPA to 23 LPA
Data Engineer
₹ 3.1 LPA to 21 LPA
Machine Learning Engineer
₹ 3.5 LPA to 21LPA
Software Development Engineer
₹ 6 LPA to 45 LPA
Hadoop Administrator
₹ 4.2 LPA to 13 LPA
Our Students work in
Big Data Hadoop Topics Covered
The advanced Big Data Hadoop course will cover all those aspects of Big Data Hadoop. The advanced Big Data Hadoop course topics include:
Course Duration : 3 Months (Weekdays)
- Module 1
- Module 2
- Module 3
- Module 4
- Module 5
- Module 6
- Module 7
- Module 8
- Module 9
- Module 10
- Module 11
- Module 12
- Module 13
- Module 14
- Module 15
- Introduction to Big Data & Hadoop Fundamentals
- Dimensions of Big data
- Type of Data generation
- Apache ecosystem & its projects
- Hadoop distributors
- HDFS core concepts
- Modes of Hadoop employment
- Concepts
- Architecture
- Data Flow (File Read, File Write)
- Fault Tolerance
- Shell Commands
- Data Flow Archives
- Coherency -Data Integrity
- Theory
- Data Flow (Map – Shuffle – Reduce)
- MapRed vs MapReduce APIs
- Programming [Mapper, Reducer, Combiner, Partitioner]
- Writables
- InputFormat
- Output format
- Introduction to NoSQL
- CAP Theorem
- Classification of NoSQL
- Hbase and RDBMS
- HBase and HDFS
- Architecture (Read Path, Write Path, Compactions, Splits)
- Installation
- Configuration
- Architecture
- Installation and Configuration
- Hive vs RDBMS
- Tables
- DDL, DML, UDF
- Partitioning and Bucketing
- Hive functions
- Architecture
- Installation
- Hive vs Pig
- Pig Latin Syntax
- Data Types and Joins
- Functions (Eval, Load/Store, String, DateTime)
- UDFs- Performance
- Introduction to Sqoop concepts
- Sqoop internal design/architecture
- Sqoop Import statements concepts
- Sqoop Export Statements concepts
- Quest Data connectors flow
- Incremental updating concept
- Streaming API using python
- Principles of Hadoop administration & its importance
- Hadoop admin commands explanation
- Balancer concepts
- Rolling upgrade mechanism explanation
- Troubleshooting
- Commonly Used Functions
- Time Series Analysis
- Kafka introduction
- Data streaming Introduction
- Producer-consumer-topics
- Brokers
- Partitions
- Unix Streaming via Kafka
- RDD- Sample Scala Program- Spark Streaming
- Limitations in Hadoop
- HDFS Federation
- High Availability in HDFS
- HDFS Snapshots
- Introduction to Stinger Initiative and Tez
- Backward Compatibility for Hadoop 1. X
- Spark Fundamentals
- Hadoop
- HDFS architecture and usage
- MapReduce Architecture and real-time exercises
- Hadoop Ecosystems
- Sqoop – MySQL Db Migration
- Deep drive
- Pig – weblog parsing and ETL
- Big Data overview
- What is a data scientist?
- What are the roles of a data scientist?
- Big Data Analytics in the industry
- Oozie – Workflow scheduling
- Flume – weblogs ingestion
- Operationalizing an Analytics Project
- Data Discovery
- Data Preparation
- Data Model Planning
- Data Model Building
- Data Insights
- Communicating Results
- Operationalizing
- Theory and Methods
- K Means Clustering
- Association Rules
- Linear Regression
- Logistic Regression
- Naïve Bayesian Classifier
- Decision Trees
- Technologies and Tools
- Analytics for Unstructured Data
- MapReduce and Hadoop
- The Hadoop Ecosystem
- In-database Analytics
- SQL Essentials
- Advanced SQL and MADlib for In-database Analytics
Module 1
- Introduction to Big Data & Hadoop Fundamentals
- Dimensions of Big data
- Type of Data generation
- Apache ecosystem & its projects
- Hadoop distributors
- HDFS core concepts
- Modes of Hadoop employment
- HDFS Flow architecture
Module 2
- Concepts
- Architecture
- Data Flow (File Read, File Write)
- Fault Tolerance
- Shell Commands
- Data Flow Archives
- Coherency -Data Integrity
Module 3
- Theory
- Data Flow (Map – Shuffle – Reduce)
- MapRed vs MapReduce APIs
- Programming [Mapper, Reducer, Combiner, Partitioner]
- Writables
- InputFormat
- Output format
- Streaming API using python
Module 4
- Introduction to NoSQL
- CAP Theorem
- Classification of NoSQL
- Hbase and RDBMS
- HBase and HDFS
- Architecture (Read Path, Write Path, Compactions, Splits)
- Installation
- Configuration
Module 5
- Architecture
- Installation
- Configuration
- Hive vs RDBMS
- Tables
- DDL, DML, UDF
- Partitioning
- Bucketing
- Hive functions
Module 6
- Architecture
- Installation
- Hive vs Pig
- Pig Latin Syntax
- Data Types and Joins
- Functions (Eval, Load/Store, String, DateTime)
- UDFs- Performance
- Troubleshooting
- Commonly Used Functions
Module 7
- Introduction to Sqoop concepts
- Sqoop internal design/architecture
- Sqoop Import statements concepts
- Sqoop Export Statements concepts
- Quest Data connectors flow
- Incremental updating concepts
Module 8
- Principles of Hadoop administration & its importance
- Hadoop admin commands explanation
- Balancer concepts
- Rolling upgrade mechanism explanation
Module 9
- Kafka introduction
- Data streaming Introduction
- Producer-consumer-topics
- Brokers
- Partitions
- Unix Streaming via Kafka
Module 10
- Limitations in Hadoop
- HDFS Federation
- High Availability in HDFS
- HDFS Snapshots
- Introduction to Stinger Initiative and Tez
- Backward Compatibility for Hadoop 1. X
- Spark Fundamentals
- RDD- Sample Scala Program- Spark Streaming
Module 11
- Hadoop
- HDFS architecture and usage
- MapReduce Architecture and real-time exercises
- Hadoop Ecosystems
- Sqoop – MySQL Db Migration
- Deep drive
- Pig – weblog parsing and ETL
- Oozie – Workflow scheduling
- Flume – weblogs ingestion
Module 12
- Big Data overview
- What is a data scientist?
- What are the roles of a data scientist?
- Big Data Analytics in the industry
Module 13
- Data Discovery
- Data Preparation
- Data Model Planning
- Data Model Building
- Data Insights
- Communicating Results
- Operationalizing
Module 14
- Theory and Methods
- K Means Clustering
- Association Rules
- Linear Regression
- Logistic Regression
- Naïve Bayesian Classifier
- Decision Trees
- Time Series Analysis
Module 15
- Technologies and Tools
- Analytics for Unstructured Data
- MapReduce and Hadoop
- The Hadoop Ecosystem
- In-database Analytics
- SQL Essentials
- Advanced SQL and MADlib for In-database Analytics
Module 16
- Operationalizing an Analytics Project
- Creating the Final Deliverables
- Data Visualization Techniques
- Final Lab Exercise on Big Data Analytics
Certification
Login360 provides Big Data Hadoop certification after the successful completion of the course. With this certification, you can enter the IT industry with an additional qualification.
This certification will add more value to your resume, which will help you to access your desired job positions. It shows that the aspirant has the core knowledge of Big Data Hadoop to enter the industry. You are provided with videos, PPTs, assignments, and other practical activities.
You Can get this certification within three months, and this certification course is designed for freshers and working professionals.
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Testimonials
Chennaiyan
Digital Marketeer
I joined Login360 for a digital marketing course. The training I received was great all the necessary things plus which are important for the organizational level were covered while teaching under the guidance of Sudhakar sir, and I gained every relevant knowledge. Thank you for helping me throughout the course and guiding me toward the first step of my career.
Puvanesh B
Selenium Automation Testing
One of the best Software Testing training institute in Chennai. I was into Manual testing and wanted to move to Selenium automation testing. They have knowledged trainers who are working in MNC companies. I understood and each and every concept and thanks to this software testing training institute for the awesome training.
Sriraam24 rajan
Digital Marketeer
We learn by application of the excellent teaching methodology. Each student in a class is given equal weight by the teachers. The fact that they won’t go on to the next subject until we fully comprehend the previous one is advantageous for students. Until we find employment, Sir helps us with projects and offers work aid. Thank you, Sir. Login360 taught me a lot.
Durga Prasad
web development
I completed my full stack web development training in Chennai at Login360. The whole experience was extremely wonderful and knowledgeable. Sudhakar sir is one of the best trainer I studied from. The training is completely hands-on. You learn to code and work on projects. I got placed while training itself with a really good package. Overall I recommend Infocampus for training and career development.
Hanish S
Tableau
It Nice Institute, I did a Tableau course from here. The way of teaching is completely practical, they give many exercises to students, and explain concepts until I understand. It was amazing learning here. With the help of an institute, I got a job I can confidently say that if anybody really wants to learn then visit once and attend a demo class you will understand the difference
Suji Sujitha
UI Development
Hi, I am Sujitha; first, I want to tell you this institution is one of the best software training institutes in Chennai. I did my web development course from Login360; This is the best place to learn web technologies must recommend it. Excellent environment to get technology for the future.They work hard to enhance our technical skills (UI Development). I am happy with their services. Thank you, Login360 and Sudhakar, sir, for all…
Frequently Asked Questions
Is it hard to learn Big Data Hadoop?
From a professional’s point of view, it’s not hard to learn big data Hadoop. Some strategies and techniques may help you to understand easily.
Is Hadoop good for freshers?
Yes, Hadoop is good for freshers to land a career in big data. It’s a perfect field for freshers to start their careers.
Is big data Hadoop in demand?
Yes, many IT professionals need to upskill themselves with Hadoop skills. Hadoop skill act as an accelerator for many professional careers.
What is the duration of the Big data course in login360?
In login360, learning the Big data course takes 30 to 35 hours. And it depends on the learner. If you’re a slow learner, it takes more than the course duration mentioned.
Why should I choose Login360 for the Big data course?
Login360 offers outstanding Big data course training in Chennai with 100% placement guidance and support. Our updated curriculum and teaching techniques make our institute stand unique among all other institutes in Chennai.