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Hadoop Training in Chandigarh

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You can learn Big Data Hadoop and Apache Spark online, as well as its essential principles, in this comprehensive Big Data course. Our professors are industry veterans with extensive knowledge of Hadoop and other Big Data technologies. They will teach you MapReduce, Amazon EC2, and other Hadoop programming languages, allowing you to advance your career as a Hadoop developer. Trainers deliver instruction in a hands-on manner.

Course Duration

Hrs

Live Project

Project

Certification Pass

Guaranteed

Training Format

Live Online (Expert Trainers)
WatchLive Classes
Course fee at
₹14500

₹18000

Professionals Trained

Batches every month

Placed Students

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Hadoop Online Training Overview

This Hadoop certification course will allow students to create robust software development applications using Hadoop Ecosystem. Following this course, students will comprehend and write Maps Reduce code to the workflow and operate with APIs. This Hadoop Training in Chandigarh offers Hadoop's developers the best environment in real life. The Big Data slogan is used by companies worldwide to obtain the certification and expertise of Hadoop. Big data research is a priority for many big corporations, helping them strengthen their findings. Therefore, Big Data Hadoop experts are expected to be experts in the sector.

Hadoop Training will:

  • This course provides Hadoop developers with the best practice environment in the real world.
  • In our Hadoop certificate program, you can find out how to have Hadoop skills.
  • Terms and certificates for projects are given without fair submissions and evaluation.
  • After all the submissions have been presented and well-judged, the certificate will be awarded.
  • This Course is completely different from relative databases functionally and could method for obtaining high volume, high rate, and high price types of data.
  • You can understand how to perform your configuration and function with APIs by executer MapReduce codes if you have graduated from university.
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Hadoop Training Objectives

  • Hadoop has nearly become synonymous to massive knowledge. though it's quite few years recent, the demand for Hadoop technology isn't taking place.
  • Professionals with information of the core parts of the Hadoop like HDFS, MapReduce, Flume, Oozie, Hive, Pig, HBase, and YARN square measure and can be high in demand.
  • A Hadoop Developer takes care of the writing and programming of Hadoop applications, within the context of massive information.
  • Different occupations that square measure unremarkably related to Hadoop Developer square measure huge information Developer, huge information Engineer, Hadoop creator, Hadoop Engineer, Hadoop Lead Developer.
  • If you would like to figure with massive knowledge, then learning Hadoop could be a should - because it is turning into the de facto commonplace for giant processing.
  • The answer to the current question depends on your ability and also the courses you've got registered yourself in. If you've got the conditions to find out Hadoop, you'll simply master the subject in a very few days. If you would like to find out Hadoop from scratch, it will take 2 to a few months to master it.
  • ? No, you do not have to be compelled to learn Hadoop to find out Spark. Spark was Associate in Nursing freelance project . however once YARN and Hadoop a pair of.0, Spark became common as a result of Spark will run on high of HDFS beside alternative Hadoop elements.
  • Java artificial language Apache Hadoop is Associate in Nursing open supply platform designed on 2 technologies UNIX system software and Java artificial language. Java is employed for storing, analysing and process massive information sets.
  • Although Hadoop could be a Java-encoded ASCII text file computer code framework for distributed storage and process of enormous amounts of information, Hadoop doesn't need a lot of secret writing.
  • All you have got to try and do is recruit in a very Hadoop certification course and learn Pig and Hive, each of that need solely the fundamental understanding of SQL.

    Big Data Hadoop Certification Training is created to make you a certified big data psychotherapist by industry specialists. The Hadoop Big Data course provides:

  • The categorical imperative of Big Data and Hadoop which would include HDFS, YARN (Another Resource Negotiator), and MapReduce (Hadoop Distributed File System) Complete and accurate knowledge of different tools such as Pig, Hive, Sqoop, Flume, Oozi, and HBase that fall into the Hadoop ecosystem
  • The possibility for the input of HDFS data with Sqoop & Flume and the analysis of large HDFS datasets.
  • High Demand, Better Pay A report by IBM and Burning Glass technologies lists Apache Hadoop, MapReduce, Apache Hive, and Pig as a number of the foremost in-demand and highest paying knowledge science skills.
  • Big information permits organisations to discover trends, and spot patterns that may be used for future profit. It will facilitate to discover that customers area unit possible to shop for merchandise, or facilitate to optimise promoting campaigns .
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Top Companies Placement

The Hadoop Developer on Responsibility has meeting with the development team to assess the company's big data infrastructure. Creating data processing frameworks. Extracting data and isolating data clusters. Testing scripts and analyzing results and more often rewarded with substantial pay raises as shown below
  • Designation
  • Annual Salary
    Hiring Companies
  • 4.6L
    Min
  • 7.9L
    Average
  • 15.5L
    Max
  • 4.7L
    Min
  • 7.2L
    Average
  • 14.6L
    Max
  • 5.1L
    Min
  • 8.2L
    Average
  • 14.9L
    Max
  • 4.7L
    Min
  • 7.5L
    Average
  • 13.5L
    Max
Top Skills You Will Gain
  • Big Data, HDFS
  • YARN, Spark
  • MapReduce
  • PIG, HIVE
  • HBase, Mahout
  • Spark MLLib
  • Solar, Lucene
  • Zookeeper, Oozie

Online Classroom Batches Preferred

Weekdays (Mon - Fri)
03 - Nov - 2025
08:00 AM (IST)
Weekdays (Mon - Fri)
05 - Nov - 2025
08:00 AM (IST)
Weekend (Sat)
08 - Nov - 2025
11:00 AM (IST)
Weekend (Sun)
09 - Nov - 2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹18000 ₹14500 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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 Chandigarh 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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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.

Career Support

Our Hiring Partner

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 Chandigarh. 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 Chandigarh 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.

Our Student Successful Story

checkimage Regular 1:1 Mentorship From Industry Experts checkimage Live Classes checkimage Career Support

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 Chandigarh 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 Chandigarh 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 Chandigarh, 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 Chandigarh 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.
  • 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 Chandigarh, 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 Chandigarh 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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