BIG DATA HADOOP Training Course in Chennai

3.8/5

Infibee provides India’s #1 Big Data Hadoop Course in Chennai with certification and job placements.

Infibee Technologies’ Big Data Hadoop training in Chennai is a structured approach to learning about managing and analysing large sets of data. The basic to advanced concepts in Big Data and Hadoop are covered, and thereby the student understands what architecture, tools and techniques are being applied by the industry. Here, learn to store, process, and analyse large amounts of data using the Hadoop ecosystem, composed of such tools as HDFS, MapReduce, Hive, and Pig. This course is made for learners, professional beginners, or others looking to advance their expertise. Hands-on exercises and real projects will ensure that one gets down-to-earth knowledge. Highly experienced instructors will be there to take care of the students in order to help them practically implement knowledge and provide valuable insights towards more reflection. The training would transfer knowledge and skills about the execution of big data projects; they will turn into experts by the end of training in using Hadoop for various applications. Students will become adequately prepared to overcome the complexities faced in the professional work space in their dealings with Big data.

Join us at our Big Data Hadoop training institute in Chennai at Infibee Technologies, which offers quality industry-based training.

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Big Data Hadoop Course in Chennai Overview

If you are excited about a career in Big Data Hadoop, this is where you should be. Infibee Technologies is one of the Best software training institutes in Chennai and has better training sessions on Big Data Hadoop, which can satisfy your needs for training. The big data Hadoop course in our institutes is going to be done under industry experts so that we empower you with the basic skills required for success in the domain of big data Hadoop.

Our course is going to provide hands-on experience along with in-depth knowledge regarding Big Data Hadoop methodologies, tools, and techniques. You will practice all necessary skills for managing Hadoop clusters, processing large datasets, and ensuring efficiency and accuracy in data-driven processes by the end of your training.

Whether you are a newcomer in the sector of Big Data Hadoop or an experienced professional who wants to upgrade your skills, this training program is developed for you. Our courses online are practical learning with real-world case studies and projects to ensure that you gain adequate proficiency in the accomplishment of success in Big Data Hadoop.

If you want to check the opportunity of big data Hadoop, then this training course would be the right destination. Big data Hadoop Training in Chennai renders a free demo class to every candidate, and 100% placement assistance is given to the candidate for a swift kick-start of their career in big data Hadoop.

What Is Big Data Hadoop Used For?

Big data Hadoop is basically a framework that is mainly used to store and process huge sets of data. It is so because Hadoop can handle large amounts of data in a manner that conventional databases are not capable of doing. Hadoop uses a distributed storage system called HDFS, which holds data on multiple machines, and a processing model called MapReduce to process and hence analyse data efficiently. Organisations apply Hadoop in initiatives of extracting insights from big data, like understanding consumer behaviour, improving the operations of a business, and fraud detection. It is highly scalable and cost-effective, in virtue of which it is widely used in finance, healthcare, retail, and technology industries. Hadoop makes sense of large and complex data sets, making for better decisions.

How to Advance My Career in Big Data Hadoop?

Our Big Data Hadoop Certification Training in Chennai can advance your career as it equips you with skills regarding the management and analysis of big datasets. Big data analysts will be in demand with most businesses as they aim to make decisions based on data. The more companies use big data in finance, healthcare, and retail, the more they will need to learn Hadoop. Some other jobs that open up are data analyst, data engineer, and Hadoop developer. Thus, learning to use Hadoop tools will really help one work in real-world projects, where lots of information is required for processing. This Big Data Hadoop Training Chennai is a skill that can definitely make your resume look attractive, help you get better job prospects, and sometimes even higher salaries.

Who Can Apply For This Big Data Hadoop Training?

BIG DATA HADOOP Certification Course in Chennai is open to any interested candidate. The interested ones include IT professionals, software developers, data analysts, and system administrators. Fresh graduates can also apply for the training if they are interested in big data. People with basic knowledge of programming, databases, and Linux will be ideal candidates. Hadoop does not require any prior knowledge and will be very helpful for a basic understanding of Java and SQL. The Big data Hadoop Course in Chennai could prove to be extremely useful to those who want to shift their career to big data. It would suit professionals who wish to have an upgrade of their skills in data management and analysis.

Why Choose Infibee Technologies For Big Data Hadoop Training In Chennai?

Infibee Technologies, one of the Best Big data Hadoop Training Institutes in Chennai: We have an advanced curriculum designed by professionals  meeting the great demands of the modern big data landscape. Our training is real-world expertise and led by experienced instructors who offer hands on training to navigate through the difficulties of Big Data Hadoop. With the flexibility of the schedule and convenience location, our courses are apt for working professionals as well as students, and projects and case studies will help participants acquire practical Big Data Hadoop skills, thereby setting a robust ground for a promising career in analytics. Further, by following up with placement assistance, we ensure that our patrons transition into the Big Data arena smoothly.

HIGHLIGHTS OF THE COURSE

  • Free demo classes.
  • Restricted Pax Per Batch (2-4 pax per batch).
  • Different batches for experienced and fresh candidates.
  • Curriculum 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 Interview Preparation and Resume Preparation.

Is Obtaining Certification For Big Data Hadoop A Good Choice?

Getting a Big data Hadoop Certification course training in Chennai can even help a career, especially in fields of project management, software development, or a team leadership post. It will indicate to a recruiter, an employer, or the hiring manager that a person is well aquinted with the concepts, methods, and tools related to AGILE, which are used by many of the organisations these days to manage a project. The certification leads to more job opportunities and may also result in the higher salaries of the deserved candidates. It might help improve skills in managing tasks, being part of teams, and delivering projects within the most crucial deadline period. The certification gives the participants AGILE skills, making most of the employers seek candidates with that. For individuals looking to grow in their professional lives, it is a good step up.

What Are the Career Opportunities After Finishing the Course?

At Infibee Training Institute, after you complete the course of Big Data Hadoop in Chennai, you will be awarded certification as well as employment referrals, which is assured. The job referrals start from positions and placements in the stock market, startups, MNCs, enterprises, private equity organisations, and even the healthcare sector.

Career Possibilities After Completing Big Data Hadoop Training:

Entry-Level (0–3 years):

  • Big Data Hadoop Developer Trainee: 3–5 LPA
  • Junior Big Data Engineer: 4–6 LPA
  • Big Data Analyst: 4–6 LPA

Mid-Level (4–8 years):

  • Big Data Hadoop Developer: 6–10 LPA
  • Senior Big Data Engineer: 8–12 LPA
  • Big Data Architect: 10–15 LPA

Senior/Experienced (9+ years):

  • Principal Big Data Engineer: 12–18 LPA
  • Head of Big Data Analytics: 15–20 LPA
  • Big Data Consultant: 18–25 LPA

Specialised Roles:

  • Big Data Security Specialist: 10–15 LPA
  • Hadoop Administrator: 10–15 LPA
  • Big Data Solution Architect: 15–20 LPA

Benefits of Our Big Data Hadoop Certification Course:

Enrolling in our Big Data Hadoop Course Near me in Chennai offers several advantages, including

  • syllabus is complete with all the fundamental subjects
  • Consultation to design your curriculum according to your needs
  • Industry exposure with practical projects
  • Flexibility to learn using pre-recorded videos and live sessions
  • Interview preparation in real-time
  • Certified by two institutes
  • Jobs surely get referrals post-completion
  • Hybrid course model; the courses are easily accessible
  • Duration: five months. Lifelong access enabled
  • Enrol now and unlock your true potential in Big Data Hadoop!

Enrol Today and Unlock Your Potential in Big Data Hadoop!

Apply for Big Data Hadoop Certification Training in Chennai and reap the rewards for your career. Enrol now and transform your life with learning about Big Data Hadoop.

For more information on the syllabus, duration, and enrollment process, visit our website or contact us at contactus@infibee.in.

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Upcoming Big Data 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

Big Data Hadoop Course Syllabus in Chennai

Join Our Big Data Hadoop Training in Chennai! We offer you all the important methodologies of Hadoop, big data tools, and advanced techniques in our syllabus. All the practical projects are guided by industry experts, thus equipping you to analyse big data processes effectively within this buzzing tech hub. 
  • 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
  • HUE.(Hortonworks and Cloudera)
  • 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?
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Hands On Big Data Hadoop Projects

Enrol in our Big Data Hadoop classes in Chennai, where the course will be based on high-quality training concerning their core concepts and practical approach, providing exposure to the current industry use cases and scenarios in which the participants will be able to boost their skill sets along with gaining the capability to execute real-time big data projects using best practices.

Customer Sentiment Analysis

Analyze customer reviews and feedback using Hadoop. Determine positive, negative, and neutral sentiments. Present findings to improve customer service strategies.

Log Data Analysis

Process and analyze server logs with Hadoop. Identify trends, errors, and performance issues. Help optimize server performance and uptime

Healthcare Data Management

Collect and process patient records using Hadoop. Analyze treatment outcomes and patterns. Improve healthcare services and patient care.

For Corporates

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

Corporate Training
"Leading Companies We've Served"
Our Instructor
Name
Ms. Pooja
Experience
9+ Years
Specialized in
Agile Basics, APM Framework, Scrum Building Blocks, & Agile Tools
More Details
Pooja is one of Infibee's top-certified trainers in Big Data Hadoop, boasting over 9 years of hands-on experience collaborating with industry professionals. He holds certifications in Hadoop, Spark, Hive, Pig, and HDFS, ensuring expertise in advanced big data technologies.

Agile Course Training Objectives

Our Best Big Data Hadoop Training in Chennai aims to arm participants with comprehensive skill and practical know-how in the subject. Aims include the thorough mastery of core Hadoop concepts, implementation of acquired skills through real-world big data projects, advancement in critical thinking, and preparation for professional challenges. 

The average salary for a professional skilled in Big Data Hadoop in India ranges from ₹8,00,000 to ₹18,00,000 per annum, depending on experience, job role, and location.

Yes, there are several certifications for Big Data Hadoop, such as the Cloudera Certified Associate (CCA) Spark and Hadoop Developer, the Hortonworks Certified Apache Hadoop Developer (HDPCD), and the MapR Certified Hadoop Developer.

A Big Data Hadoop course typically covers topics such as Hadoop architecture, HDFS (Hadoop Distributed File System), MapReduce programming, Apache Hive, Apache Pig, Apache HBase, Apache Spark, YARN (Yet Another Resource Negotiator), and data ingestion using tools like Sqoop and Flume.

While there are no strict prerequisites, having a basic understanding of programming (Java, Python), databases, and Linux operating system can be beneficial. Familiarity with data analysis concepts is also helpful.

Obtaining a Big Data Hadoop certification enhances your career by providing a recognized credential that demonstrates your expertise in big data technologies and analytics. It can lead to advanced job opportunities, higher salaries, and increased professional credibility in the field of data science and big data analytics.

With Big Data Hadoop skills, you can pursue various job roles such as Hadoop Developer, Big Data Engineer, Data Analyst, Data Scientist, Hadoop Administrator, and Data Architect. These roles involve managing and analyzing large datasets, developing big data solutions, and optimizing data processing workflows.

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.

Big Data Hadoop Career Opportunity

Big Data Hadoop is the most leading programming language, and it works on all the computers and mobile devices without demanding to be upgraded. One of the highest-paid careers in the software developing industry is the Big Data Hadoop career, and a person with the Big Data Hadoop certification can earn an average of 7 LPA per year.
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

Big Data Hadoop Training FAQ's

Infibee Big Data 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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