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Hadoop Training in Chennai

(3.0) 4354 Ratings 1233Learners
100% Job Guarantee | Minimum CTC: ₹ 5 LPA

Hadoop is a technology of the future that is most useful in efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Learn Hadoop in real-time with LearnoVita experts practically with live training.

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  • 40+ Hrs Hands On Training
  • 2 Live Projects For Hands-On Learning
  • 50 Hrs Practical Assignments
  • 24/7 Students

Hadoop and Developer Training Overview

Hadoop Training is curated by professionals as per the industrial requirements and demands. This training encompasses comprehensive knowledge of basic and advanced concepts of MapReduce, Hive, Pig, Sqoop, Oozie, and Flume. In this course, you will gain expertise in concepts like Amazon EC2 for cluster setup, Spark framework and RDD, Scala and Spark SQL, Machine Learning using Spark, Spark Streaming using industry use-cases.

Hadoop Training will:

  • Introduce You to the various components of the Hadoop ecosystem fit into the Big Data processing lifecycle.
  • Learn Hadoop Distributed File System (HDFS), Map Reduce, API discussion, Hive, Hive Services, Hive Shell, Hive Server and Hive Web Interface, SQOOP, H Catalogue, Flume, Oozie.
  • Show you how to Hadoop administration activities like cluster managing, monitoring, administration and troubleshooting.
  • Cloudera Spark and Hadoop Developer Certification (CCA175) Guidance Support with Exam Dumps
  • Resume & Interviews Preparation Support
  • We train students for interviews and offer placements in corporate companies.

What is Hadoop?

Hadoop consists of three core components: a distributed file system, a parallel programming framework, and a resource/job management system. Linux and Windows are the supported operating systems for Hadoop, but BSD, Mac OS/X, and OpenSolaris are known to work as well.

Hadoop Distributed File System (HDFS)

    • Hadoop is an open-source, Java-based implementation of a clustered file system called HDFS, which allows you to do cost-efficient, reliable, and scalable distributed computing.
    • The HDFS architecture is highly fault-tolerant and designed to be deployed on low-cost hardware.
    • Unlike relational databases, the Hadoop cluster allows you to store any file data and then later determine how you wish to use it without having to first reformat said data.
    • Multiple copies of the data are replicated automatically across the cluster. The amount of replication can be configured per file and can be changed at any point.

    Hadoop Map Reduce

      • Hadoop is focused on the storage and distributed processing of large data sets across clusters of computers using a Map Reduceprogramming model: Hadoop MapReduce.
      • With Map Reduce, the input file set is broken up into smaller pieces, which are processed independently of each other (the map part).
      • The results of these independent processes are then collected and processed as groups (the reduce part) until the task is done.
      • If an individual file is so large that it will affect seek time performance, it can be broken into several Hadoop splits. Here is a sample Word Count Map Reduce program written for Hadoop.

      Hadoop YARN

        • The Hadoop YARNframework allows one to do job scheduling and cluster resource management, meaning users can submit and kill applications through the Hadoop REST API.
        • There are also web UIs for monitoring your Hadoop cluster. In Hadoop, the combination of all of the Java JAR files and classes needed to run a Map Reduce program is called a job.
        • You can submit jobs to a Job Trackerfrom the command line or by HTTP posting them to the REST API. These jobs contain the tasks that execute the individual map and reduce steps. There are also ways to incorporate non-Java code when writing these tasks.
        • If for any reason a Hadoop cluster node goes down, the affected processing jobs are automatically moved to other cluster nodes.

        Advantages of Hadoop


        Scalable

          • Hadoop is a highly scalable storage platform, because it can stores and distribute very large data sets across hundreds of inexpensive servers that operate in parallel.
          • Unlike traditional relational database systems (RDBMS) that can’t scale to process large amounts of data, Hadoop enables businesses to run applications on thousands of nodes involving many thousands of terabytes of data.

          Cost effective

            • Hadoop also offers a cost effective storage solution for businesses exploding data sets. The problem with traditional relational database management systems is that it is extremely cost prohibitive to scale to such a degree in order to process such massive volumes of data.
            • In an effort to reduce costs, many companies in the past would have had to down-sample data and classify it based on certain assumptions as to which data was the most valuable.
            • The raw data would be deleted, as it would be too cost-prohibitive to keep. While this approach may have worked in the short term, this meant that when business priorities changed, the complete raw data set was not available, as it was too expensive to store.

            Flexible

              • Hadoop enables businesses to easily access new data sources and tap into different types of data (both structured and unstructured) to generate value from that data.
              • This means businesses can use Hadoop to derive valuable business insights from data sources such as social media, email conversations.
              • Hadoop can be used for a wide variety of purposes, such as log processing, recommendation systems, data warehousing, market campaign analysis and fraud detection.

               Fast

                • Hadoop’s unique storage method is based on a distributed file system that basically ‘maps’ data wherever it is located on a cluster.
                • The tools for data processing are often on the same servers where the data is located, resulting in much faster data processing.
                • If you’re dealing with large volumes of unstructured data, Hadoop is able to efficiently process terabytes of data in just minutes, and petabytes in hours.
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Skills You Will Gain
  • Core Hadoop 8 concepts
  • Hadoop EE
  • Hadoop Servlet
  • Hibernate and Spring frameworks
  • SOA and web services
  • Multithreading string handling exception handling techniques
  • J2EE HTTP protocol and HTML

Hadoop Course Key Features 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry Hadoop Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Companies Placement

Responsible for Designing, building, installing, configuring and supporting Hadoop, these specialized Developers collaborate with fellow Software Developers, Analytics professionals, and others to use Hadoop for Data Management and more are often rewarded with substantial pay raises as shown below.
  • Designation
  • Annual Salary
    Hiring Companies
  • 3.24L
    Min
  • 6.5L
    Average
  • 13.5L
    Max
  • 4.50L
    Min
  • 8.5L
    Average
  • 16.5L
    Max
  • 4.0L
    Min
  • 6.5L
    Average
  • 13.5L
    Max
  • 3.24L
    Min
  • 6.5L
    Average
  • 12.5L
    Max

Training Options

Class Room Training

Talk to Placement Support

  • Experienced Trainers and Lab Facility Offer By Hadoop Training in Chennai
  • Best Practice for interview Preparation Techniques
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question

Next Batch Schedule

23-08-2020 (Weekdays Regular)

24-08-2020 (Weekdays Regular)

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Online Training

₹18000₹ 15000

  • preferred
  • Live demonstration of features and practicals Hadoop Online Training in Chennai
  • Lifetime access to high-quality self-paced learning and live online class recordings
  • Get complete certification guidance
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of Hadoop Training available
  • Design your own course content based on your project requirements
  • Learn as per full day schedule and/or flexible timings
  • Gain complete guidance on certification
  • 24x7 learner assistance and support

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
10000 ₹9000

Hadoop Certification Course Curriculam

Trainers Profile

Trainers are certified professionals with 7+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Hadoop Training in Chennai are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Pre-requisites

Prerequisite You must know at least the basic understanding of Core Java and SQL. If you are new to programming then Introduction to Programming is strongly recommended. If you already know C++ or any other Object-Oriented language, Hadoop should be easy to pick up.

Syllabus of Hadoop Course in Chennai Download syllabus

  • 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
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Need customized curriculum?

Industry Projects

Project 1
Customer churn analysis –Telecom Industry

The project involves tracking consumer complaints registered on various Platforms.

Project 2
Analyzing Intraday price changes

Use Hive features for data engineering and analysis of New York stock exchange data.

Project 3
Analyzing Product performance

Perform product and customer segmentation to increase the sales of Amazon.

Mock Interviews

  • Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
  • In our mock interviews will be conducted by industry best Hadoop Training in Chennai experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!

How Learnovita Mock Interview Works?

Have More Questions. Reach our Support Team

Hadoop Training Objectives

  • Certainly Yes. Hadoop skills are in demand – this is an undeniable fact! Hence, there is an urgent need for IT professionals to keep themselves in trend with Hadoop and Big Data technologies. Apache Hadoop provides you with means to ramp up your career.
  • It is hence both wise and lucrative to look for a career in Hadoop as a software developer. The strong community, enterprise support, and growing popularity among programmers show that Hadoop is set to stay the first choice for most businesses. Start Enhance Your Career with Advance Hadoop Training in Chennai
  • Career progression opportunities for individuals who become Hadoop developers are excellent
  • Hadoop is among the major big data technologies and has a vast scope in the future. Being cost-effective, scalable and reliable, most of the world's biggest organizations are employing Hadoop technology to deal with their massive data for research and production.
  • Hadoop Developer Salary in worldwide is the most lucrative in the field of IT industry.
  • Certainly Yes. Even the recruiters know the knowledge we get in colleges is not enough to do a job. They will see how confident you are. However they will train you according to their requirement once you get into the company.
  • Be confident with your basics that's enough You to get tons of Jobs opportunity by learning Hadoop from Hadoop Coaching Centers in Chennai.

Our Hadoop Institute in Chennai is designed to give a hands-on approach to the students in Hadoop. The course is made up of Both theoretical & Practical classes that teach the basics of each module followed by high-intensity practical sessions of Completing Each Module that Related current challenges and needs of the industry that will demand 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 Training with Placement in Chennai has been actively involved in 100% Job Placement Assistance as a value-added service in the Technical Program. With the backup of an advanced training curriculum and real-time business projects, we have a very consistent and growing Job Placement and Track Record.
  • Market entry to various countries and jobs in major corporate.
  • Immediate job opportunities after Completion of Advance Hadoop Course in Chennai.
  • Active Coordination with students from the stage of preparing a professional CV/Resume to attend Interviews and securing a Job.
  • Preliminary Preparation ensures that our students are able to perform confidently in Interviews even it was their First Interview.
  • The prerequisites include basic Computer and programming knowledge. Additionally, knowledge of C and C++ language is an added advantage to learn Big Data Hadoop from Advance Hadoop Course in Chennai
  • Mostly Yes, Having Agile Thinking is enough to Understand the Hadoop Concepts. Even though The Basic Programing Language of C and C++ language knowledge is to make Ease to Understand the Concepts Easily.

After this Hadoop Training, the significant areas where you excel are as follows:

  • In-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce
  • Comprehensive knowledge of various tools that fall in the Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase
  • The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
  • The exposure to many real-world industry-based projects which will be executed in Edureka’s CloudLab
  • Projects which are diverse in nature covering various data sets from multiple domains such as banking, telecommunication, social media, insurance, and e-commerce
  • Rigorous involvement of a Hadoop expert throughout the Big Data Hadoop Training to learn industry standards and best practices

The Hadoop Training is perfect for the below job positions:

  • Programming Developers and System Administrators
  • Experienced working professionals and Project Managers
  • Big Data Hadoop Developers eager to learn other verticals like testing, analytics and administration
  • Mainframe Professionals, Architects and Testing Professionals
  • Business Intelligence, Data Warehousing and Analytics Professionals
  • Graduates and undergraduates eager to learn Big Data
  • Global Hadoop market to reach $84.6 billion in two years – Allied Market Research
  • The number of jobs for all the US Data Professionals will increase to 2.7 million per year – IBM
  • A Hadoop Administrator in the US can get a salary of $123,000 – Indeed
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Online Classroom Batches Preferred

23-08-2020
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

24-08-2020
Thursday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

25-09-2020
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

26-09-2020
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

Can't find a batch you were looking for?
₹21000 ₹18000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Exam & 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.

Hadoop Course FAQ's

LearnoVita Offers a good discount percentage for you CALL at +91 93833 99991 and know the Exciting offers Available for you!!!
Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how the classes are conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors from Hadoop Classes in Chennai are working professionals from the Industries, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
  • LearnoVita Best Hadoop Training in Chennai will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
  • On Successfully Completing a Career Course from LearnoVita Best Hadoop Course in Chennai, you Could be Eligible for Job Placement Assistance.
  • 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
  • LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
  • More than 5400+ students placed in last year in India & Globally.
  • LearnoVita is the Best Hadoop Training Institute in Chennai Offers mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
After Your Course Completion You will Receive
  • LearnoVita Certification is Accredited by all major Global Companies around the World.
  • LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (nie) Singapore
  • Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
  • LearnoVita is offering you the most updated Hadoop certification training in chennai, relevant, and high-value real-world projects as part of the training program.
  • All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
  • You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
  • After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
At LearnoVita you can enroll in either the instructor-led Hadoop Online Course, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
  • We will reschedule the Hadoop classes in chennai as per your convenience within the stipulated course duration with all such possibilities.
  • View the class presentation and recordings that are available for online viewing.
  • You can attend the missed session, in any other live batch.
Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each Hadoop batch to 5 or 6 members
Learning Hadoop can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Hadoop. Mastering Hadoop can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average salary of Hadoop Developer in India is ₹4,43,568 per annum.
You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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