Hadoop Training in Chennai

5/5

Infibee offers the No. 1 Hadoop Course in Chennai with certification and job placements.

Begin your big data career by using Hadoop with our Hadoop Training in Chennai, one of the strongest distributed storage and processing frameworks of large data sets over a cluster of computers. Hadoop classes in Chennai are very elaborately designed and presented by well-experienced industry professionals. The course will cover the basic concepts of Hadoop Distributed File System (HDFS), MapReduce programming paradigm, and other components of the Hadoop ecosystem such as HBase, Hive, Pig, and Spark, along with best practices for efficient data processing. You will gain the skills to unlock the full potential of Hadoop for effective handling of large datasets through hands-on projects and real-world case studies.

Join our Hadoop Training Institute in Chennai and learn the basics of Hadoop and take off on the path to achieving great success in the exciting domain of big data analytics.

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25 hrs of E-Learning Videos
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Hadoop Course in Chennai Overview

Want to venture into the world of big data with Hadoop but don’t know what to start with? Then learn from the Best Software Training Institute in Chennai, infibee Technologies. A comprehensive Hadoop course in Chennai, led by industry experts with years of rich experience in big data analytics, will help you navigate the dynamic landscape of your desired field.

Our courses are hands-on, providing extensive knowledge into the Hadoop ecosystem regarding its components, such as HDFS, MapReduce, Spark, and Hive, in addition to key topics which include data processing, distributed computing, and cluster management. At the end of your training, you are proficient in handling large amounts of data, implementing pipelines for the processing of data, and handling analytics tasks on Hadoop.

Whether you are a newcomer or an experienced professional, our training program will equip you with the necessary competencies to upskill with Big Data technologies. Practice through case studies and work on real-world projects: gain valuable experience and mastery in using Hadoop for proper management and analysis of data.

If you feel like exploring career opportunities under the Big Data umbrella, then our Hadoop Course in Chennai is the correct starting point. Join now our Best Hadoop Training Course in Chennai that includes a free demo class and 100% placement assistance for the kick-start of a career in the exciting realm of Big Data analytics

What Is Hadoop Used For?

Hadoop processing focuses on both high-volume data storage and processing across distributed clusters of computers. It is excellent for handling both structured and unstructured data, making it well suited for big data analytics, data warehousing, and even business intelligence applications. Hadoop is used in finance, health care, retail, and telecommunication sectors for processing ETL operations, predictive analytics, and training machine learning models because of its scalable and fault-tolerant architecture. The HDFS, MapReduce, Spark, and Hive tool environment provides an efficient means to manage, process, and analyze data at scale with insights and decision-making support.

How Can Training in Hadoop Help My Career?

Learning Our Hadoop Certification Training in Chennai is always a good idea and definitely opens up the opportunity for employment in this rapidly expanding Big Data Analytics and Management industry. Such job opportunities in Hadoop, based on skill, may come under data engineer, big data analyst, or Hadoop administrator in an array of industries. Companies are in pursuit of those having Hadoop skills since that is the only way they can handle and process tremendous amounts of data that helps them to have more advanced career prospects, increased income, and opportunities to have promotions in the data-based economy.

Who is Eligible to Apply for Hadoop Training?

Any candidate holding a background or having an interest in data management, computer science, or IT can apply for Hadoop training. The program is tailored for professionals involved in the development of software, managing databases, and analytics as a means of furthering their careers in big data technology. Students who have just graduated and would wish to gain entry into big data while furthering their careers into data analytics may apply. It welcomes all those who are passionate about technology and wish to explore the field of big data to enroll in Hadoop training.

Why Infibee Technologies for Hadoop Training?

Infibee Technologies is the Best Hadoop Training Institute in Chennai. Our advanced curriculum is designed to meet the demands of the ever-changing Big Data landscape. This training is led by experienced instructors with practical expertise. Our program comes with hands-on training on equipping you with needed skills in Hadoop. It is suitable for anyone—a professional or even a student—because the schedule is flexible and easy to access. You will thus have practical expertise in the real world through immersive projects with real-world case studies and more. We also support our students with placement in case they need it and thus ensure a smooth transfer to their career in big data analytics.

HIGHLIGHTS OF THE COURSE

  • Free demo classes.
  • Restricted Pax Per Batch (2-4 pax per batch).
  • Different batches for experienced and fresh candidates.
  • Circulam is designed for the present market trend.
  • Access to class recordings and study material.
  • The training will be conducted by industry experts.
  • Weekly assessments and mock tests will be conducted regularly to evaluate yourself.
  • Two mock projects will be conducted at the end of the training.
  • Guidance for Intrewiew Preparation and Resume Preparation.

Is a Hadoop certification worth taking a career path?

Our Hadoop certification course in Chennai is worth considering your career path as you validate your expertise in big data technologies, making you the best candidate in the competition for jobs. Many employees seek candidates with recognized certificates and thus offer better prospects in jobs and higher salaries than usual. Moreover, you prove your commitment to a career by acquiring a Hadoop certificate that proves your ability in the effective handling of massive data sets, thereby developing credibility as a Big Data professional.

What are the career opportunities for me after completing this course?

At Infibee Training Institute, once you complete your desired course, they provide you with an assured job referral and a certificate. The job referrals range from the stock market to the startups, MNCs, enterprises, private equity organizations, and even healthcare sectors. Therefore, after the completion of the Hadoop course, you may come out as a Hadoop professional.

Entry-Level (0–3 years):

  • Hadoop Developer Trainee: 3–4 LPA
  • Junior Big Data Analyst: 3.5–5 LPA
  • Junior Hadoop Administrator: 4–5 LPA

Mid-Level (4–8 years):

  • Hadoop Developer: 5–8 LPA
  • Big Data Engineer: 6–10 LPA
  • Hadoop Administrator: 6–9 LPA
  • Data Analyst (Hadoop): 7 – 11 LPA

Senior/Experienced (9+ years):

  • Senior Hadoop Developer: 8 – 14 LPA
  • Big Data Architect: 12 – 18 LPA
  • Hadoop Architect: 10–15 LPA
  • Data Scientist (Hadoop): 10 – 18 LPA

Enroll Now: Unleash Your Hadoop Power!

Do not miss this chance to take your career to the next level with our Hadoop Certification Training in Chennai. Join now and start your journey of transformation by acquiring the necessary skills and knowledge to make you a rockstar in the world of cloud computing.

For further details regarding the syllabus, course duration, and enrollment procedure, please refer to our website or email us at contactus@infibee.in

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Upcoming Hadoop Batches In Chennai

18-11-2024
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
20-11-2024
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
15-11-2024
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Hadoop Course Syllabus In Chennai

Begin your expedition into the world of big data with our comprehensive Hadoop course in Chennai! Covering the basic topics such as the Hadoop Distributed File System (HDFS), a programming paradigm known as MapReduce, and the whole set of components that a Hadoop ecosystem comprises-like HBase, Hive, Pig, and Spark this course will be designed with the idea of equipping the candidate with foundational knowledge and practical skills to grow and excel in the space of big data analytics.

  • High Availability
  • Scaling
  • Advantages and Challenges 
  • What is Big data
  • Big Data opportunities,Challenges
  • Characteristics of Big data 
  • Hadoop Distributed File System
  • Comparing Hadoop & SQL
  • Industries using Hadoop
  • Data Locality
  • Hadoop Architecture
  • Map Reduce & HDFS
  • Using the Hadoop single node image (Clone)
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • HCatalog Installation
  • Introduction to HCatalog
  • About Hcatalog with PIG,HIVE and MR
  • Hands on Exercises
  • 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
  • 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)
  • 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
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On AWS Projects

Enroll in Hadoop Training in Chennai from us to receive top-notch coaching with a solid foundation on basic principles combined with the hands-on approach. Get immersed in current industry applications and scenarios and hone your skills, as you will obtain the competency to take up real-world projects using the best industry practices.

Designing a Hadoop Architecture

By developing this Hadoop project, you will gain an understanding of the fundamentals of Hadoop architecture. You will discover how to retrieve the top 15 queries created over the previous 12 hours if you consider the scenario where a web server generates a log file containing a time label and question.

Handling small files using Hadoop

Large file management was a major design principle of Hadoop's Distributed File System (HDFS), as you would know if you had studied its architecture in detail. Reading through small files is a difficult process for HDFS since it requires a lot of searches and many trips between data nodes.

Million Song Dataset Challenge

This is a well-known Kaggle competition to assess a recommendation system for music. The Million Song Dataset, made available by Columbia University's Lab for Recognition and Organisation of Speech and Audio, will be used by users. The dataset includes audio elements and metadata for one million popular and contemporary songs.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
Our Instructor
Name
Mr. Seetha Mahadevan
Experience
6+ Years
Specialized in
Statistical Analysis,Machine Learning,Data Wrangling,Data VisualizationBig Data Technologies, Powe BI, Hadoop, Tablue
More Details
Seetha Mahadevan is a experienced Data Science instructor with extensive industry experience. With a background in data analytics and machine learning, Seetha brings practical insights and expertise to her training sessions. Her engaging teaching style and real-world examples make complex data science concepts accessible to learners.

Hadoop Course Training Objectives

The Hadoop Training in Chennai is designed to equip participants with comprehensive skills and practical expertise in the field of Big Data analytics. The objectives of this training program include mastering core Hadoop concepts, applying acquired skills through hands-on projects, fostering critical thinking abilities, and preparing participants to tackle professional challenges effectively. This training not only enhances career development but also contributes to advancements in the industry by nurturing skilled professionals capable of addressing the complexities of Big Data analytics.

The objectives of the Hadoop training programme in Chennai are:

  1. Master core Hadoop concepts.
  2. Apply skills through hands-on projects.
  3. Develop critical thinking in Hadoop applications.
  4. Prepare for professional challenges.
  5. Enhance career prospects in tech.

The course provides learners with practical information and the ability to handle real-world Hadoop issues. This skill improves their career chances by giving them a competitive advantage in the job market and helping with career advancement in the big data area.

The emphasis on real-world projects in the Hadoop training programme is crucial for providing participants with practical experience in applying Hadoop concepts to authentic scenarios. Through hands-on projects, participants gain invaluable exposure to industry-relevant challenges and develop the skills needed to address them effectively. This approach ensures that participants are well-prepared to tackle real-world Hadoop implementations and excel in their professional careers.

The Hadoop training programme is designed to accommodate participants with varying levels of experience. While prior knowledge of programming languages such as Java or Python and familiarity with basic concepts of data management may be beneficial, it is not mandatory. The training programme is structured to cater to beginners as well as experienced professionals looking to enhance their skills in big data analytics using Hadoop.

Throughout the Hadoop training programme, participants will have access to a variety of learning resources and support mechanisms to facilitate their learning journey. These resources may include comprehensive course materials, interactive lectures, hands-on labs, and real-world projects. Additionally, participants will receive guidance and mentorship from experienced trainers who are experts in the fields of big data analytics and Hadoop. Furthermore, regular assessments, feedback sessions, and dedicated support channels will be available to ensure participants receive the assistance they need to succeed in the programme.

1. Enhanced Employability: Acquiring Hadoop skills boosts your appeal to employers seeking Big Data expertise.
2. Lucrative Opportunities: Opens doors to high-paying roles like big data engineer and Hadoop developer.
3. Practical Experience: Gain hands-on experience tackling real-world data challenges.
4. Professional Growth: Mastering Hadoop concepts fast-tracks career advancement.
5. Industry Relevance: Stay abreast of the latest trends, ensuring long-term career viability in tech.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

Hadoop Career Opportunity

Hadoop is a widely used big data framework that operates seamlessly across various computing platforms, from computers to mobile devices, without requiring frequent upgrades. It stands as one of the most lucrative career paths in the software development sector, with Hadoop-certified professionals commanding an average annual salary of 10 LPA.

Annual Pay Scale
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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I joined Infibee in order to take a Data Science Course. Being from a non-IT background, I believe that being an IT Professional will be difficult for me. But now I believe that joining Infibee is the best decision I've ever made. My overall experience has been excellent. The teaching and non-teaching staff are both excellent. I will never forget the experience I had with Infibee. Thank you for your help and support, Infibee.
Muthu krishnan
I graduated without an IT background, but Infibee has helped me advance my career as a data scientist. Here, mentors are very helpful. With the right guidance and dedication, you can achieve your dreams. Self-study is also crucial if you want to stand out from the crowd and seize your opportunities.Companies frequently visit Infibee for placements and take some incredible talent with them.
Pranali
I enrolled in Infibee's PG Data Science course. The training experience was excellent, with 80% practical training and 20% theory, which was extremely beneficial. I learned a great deal. My placement process began after I completed my course, and I am now working as an RPA and Data Science Intern at rsutra. Nisha Mam was extremely helpful during the placement process.
Yuvaraj
The courses on Infibee are excellent. It has great value. I was non IT person and joined for Data Science course it was really helpful and interesting learning with Infibee. Teachers are also incredible they did an excellent job of ensuring that we understood each concept. Excellent job setting up the mock test and interview. I enjoyed finding more skill out of me from Infibee.I appreciate Infibee's assistance in advancing my career.
Lavanya
I completed Full Stack Development Course at infibee. Infibee is the best training institute. My trainer taught us the best concepts out there. His teaching skills are great. They are having lots of knowledge. The way of teaching is also good. I am satisfied with the course. Glad to have found this institute.
Madhaiyan Madhan

Hadoop Training FAQ's

Infibee Hadoop Training In Chennai offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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