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Hadoop Training in Chennai

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100% Job Guarantee | Minimum CTC: ₹ 5.2 LPA

The Big Data Hadoop certification programme is designed to provide you with an in-depth understanding of the Hadoop and Spark Big Data platform. Using Integrated Lab, you will complete real-world, industry-based projects in this hands-on Hadoop course. Professionals pursuing Big Data Hadoop certification training should be familiar with Core Java and SQL. In this course, you will provide you a free self-paced course.

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

Online Classroom Batches Preferred

11-10-2021
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

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

13-10-2021
Thursday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

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

16-10-2021
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

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

16-10-2021
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?
₹18000 ₹14500 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Hadoop Online Training Overview

Hadoop Development course in Chennai teaches the talent set needed for the learners the way to setup Hadoop Cluster, the way to store massive knowledge exploitation Hadoop (HDFS), and the way to process/analyze the large knowledge exploitation Map-Reduce Programming or by exploitation different Hadoop ecosystems. The Big knowledge Hadoop certification coaching is intended to present you associate degree in-depth data of the large knowledge framework exploitation Hadoop and Spark. during this active Hadoop course, you'll execute real-life, industry-based comes exploitation Integrated workplace.

Hadoop Training will:

  • Fundamentals of Hadoop and YARN and write applications victimisation them.Setting up pseudo-node and multi-node clusters on Amazon EC2, HDFS, MapReduce, Hive, Pig, Oozie, Sqoop, Flume, ZooKeeper and HBase.
  • Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX and MLlib writing Spark applications, Hadoop administration activities like cluster managing, monitoring, administration and troubleshooting.
  • Configuring ETL tools like Pentaho/Talend to figure with MapReduce, Hive, Pig, etc. Hadoop testing applications victimisation MRUnit and different automation tools.
  • Working with Avro information formats Practicing real-life comes victimisation Hadoop and Apache Spark Be equipped to clear huge information Hadoop Certification
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Top Skills You Will Gain
  • Big Data, HDFS
  • YARN, Spark
  • MapReduce
  • PIG, HIVE
  • HBase, Mahout
  • Spark MLLib
  • Solar, Lucene
  • Zookeeper, Oozie

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

Being a Hadoop Developer, an expert handles and manages the Big Data domain's requirements and processes. The sole difference between a Hadoop Developer and a Software Developer is that a Hadoop Developer specializes in Big Data. It usually caters to the big data needs of the organization and requirements. Experts get rewarded with substantial pay raises, as shown below.

  • Designation
  • Annual Salary
    Hiring Companies
  • 4.24L
    Min
  • 6.65L
    Average
  • 13.75L
    Max
  • 5.50L
    Min
  • 7.5L
    Average
  • 15.5L
    Max
  • 5.0L
    Min
  • 6.65L
    Average
  • 14.5L
    Max
  • 3.74L
    Min
  • 6.75L
    Average
  • 13.5L
    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

11-10-2021 (Weekdays Regular)

13-10-2021 (Weekdays Regular)

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Online Training

₹18000₹ 14500

  • 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

show all batches

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
12500 ₹4500

Hadoop Course Curriculam

Trainers Profile

LearnoVita trainers in available for Hadoop Online Course including 24/7 live support. The essence of the hadoop is affording recorded sessions, demos, and study materials. Our Instructors are working in Hadoop and with real time experienced for 10+ more years in MNC's . Our training will be focused on assisting in placements as well.

Pre-requisites

Basic prerequisites for learning Big Data Testing : Linux , Java , SQL.

Syllabus of Hadoop Course in Chennai Download syllabus

  • High Availability
  • Scaling
  • Advantages and Challenges
  • What is Big data
  • Big Data opportunities,Challenges
  • CharLearnoVitaristics 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?

Hadoop Training Objectives

  • Yes, fresher have a great opportunity in the range of Big Data & Hadoop. I would suggest you first get a certification before beginning the job hunt.
  • This will give you a more powerful hand while hunting or applying for a Hadoop entry-level job and following you’ll also be capable to test to experience & abilities in dealing with real-time problems.
  • I would especially recommend you to attempt Hadoop & Spark Developer Certification (CCA 175) as most of the organizations are using Cloudera distribution.
  • Career progression possibilities for individuals who enhance Hadoop developers are skilled
  • Hadoop is amongst the major big information technologies and has a comprehensive scope in the future. Being cost-effective, scalable, and reliable, the largest of the world's largest companies are operating
  • Hadoop technology to trade with their extensive data for research and production.
  • Hadoop Developer Salary global is the most profitable in the field of the IT industry.
  • Hadoop provides the power of distributed computing and assigned storage. In rough words, it is one of the programs to make a super-computer (In a cost-efficient practice). Hadoop framework permits you to use the area and computing ability of 100s of computers efficiently.
  • The end-user can understand that he is communicating with 1 network and doing number/storage only on one method. One must possess both the power of Hadoop - Distributed Storage & Distributed Computing.

  • Certainly Yes. Hadoop works are in demand – this is an indisputable fact! Hence, there is an important need for IT specialists to keep themselves in trend with Hadoop and Big Data technologies. Apache Hadoop presents you with the means to ramp up your career.
  • It is hence both wise and profitable to look for a career in Hadoop as a software developer. The active community, enterprise assistance, and growing interest among programmers show that Hadoop is set to stay the first opportunity for most companies.
  • Oracle and Hadoop are various theories of collecting, processing, and retrieving information
  • DBMS and RDBMS are in the literature for a long period whereas Hadoop is a new theory comparatively.
  • As the storage limits and customer data area are increased enormously, processing this knowledge in a moderate amount of time shifts essential.
  • Especially when it comes to information warehousing applications, business intelligence recording, and various analytical processing, it displays very challenging to implement complex reporting within a moderate amount of time as the area of the data increases exponentially as well as the increasing demands of consumers for complex review and reporting.
  • Hadoop is not a database, it is software that is open-source to control a large number of structured and semi-structured data. It is originally designed for high data processes that direct all the individual records of the database.
  • Hadoop is perfect for the slow and constant pace of work where fast appearance is not critical, for example reviewing daily transaction statements, scanning of historical data, and implementing analytics where a more moderate time-to-insight is adequate.
  • Yes. MapReduce is being/has been succeeded by Spark and, as a database, there is no singular reason for choosing Hadoop compared to the several other NoSQL choices. Indeed, the provider for multi-model capabilities submitted by various other NoSQL conditions provides a possibly richer environment than can be submitted by Hadoop.

  • Our Hadoop Institute in Chennai is intended to give a hands-on approach to the learners in Hadoop
  • The program is made up of Both theoretical & Practical lessons that teach the basics of each module followed by high-intensity practical sessions of Completing Each Module that Related current provocations and needs of the industry that will necessitate the students’ time and commitment.
  • Deep practical knowledge, Hands-on lab & Hadoop training with placement in Chennai
  • Real-time project use cases & scenarios from the various Industries.
  • Mock Tests and discussing various questions.

  • Hadoop sucks for businesses that do not match the map-reduce programming model
  • And this suggests that most machine knowledge responsibilities that have the iterative model of gathering towards an answer will make it unwell on it.
  • The reason is that the picture phase communicates its results to the reduced phase using HDFS. This specific file-system warmth provides fault tolerance but it is high and very quiet
  • It is worse for the iterative machine training tasks because an HDFS heat and following HDFS read by reducers for every repetition destroys performance.
  • Hadoop is the guide platform that has caused the wave of Big Data. It has performed its role and now also powerful programs like- Spark, Flink, etc. have appeared on the technology roadmap.
  • In the technology business, change is a constant feature.
  • With an ever-growing market and better change, a technology like Hadoop became sidelined and relaxed way to more innovative solutions.
  • It is a reasonable distance from Hadoop’s life cycle.
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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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