Hadoop Developer Training

18 Lesson

30 Hours

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Looking to build a career in Big Data? igmGuru's Hadoop Developer Training is designed to help you master the core concepts of data tools, the Hadoop framework, and methodologies used in real-world environments. With this Hadoop developer course online, you'll gain hands-on expertise across the various components of the Hadoop ecosystem - skills that renowned companies are actively hiring for. Earning your Hadoop certification can genuinely open doors to better job opportunities in the field. Our experienced trainers bring deep knowledge of this open-source framework, guiding you through managing and processing large amounts of data for any application- all at a pace and schedule that works for you.

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Hadoop Developer Training Overview

A Hadoop Developer is responsible for designing, building, and managing applications that process large-scale data using the Hadoop ecosystem. igmGuru’s Hadoop Developer Training is aligned with modern Big Data and Data Engineering practices used in the industry today.

This course prepares you for the Hadoop Developer Certification, which validates your ability to design, develop, and optimize data pipelines using tools like Hadoop and related technologies. This course includes hands-on training through live projects and practical scenarios to help you build real-world skills. You will also get access to the Hadoop Cloud Lab for practice and implementation.

Prerequisites

Understanding of programming concepts

Knowledge of Core Java or Python

Familiarity with databases and SQL

Basic understanding of Linux commands

Awareness of data processing concepts

Basic analytical and problem-solving skills

Core Technologies Covered

HDFS
MapReduce
YARN
Hive
Pig
Oozie
Flume
Apache Spark

What You Will Learn in This Hadoop Developer Training

The following skills you will learn in this Hadoop developer online training program.

Hadoop architecture and core components
HDFS, MapReduce, and the YARN framework
Building and deploying data processing applications
Working with Hive and Pig for data analytics
Developing data pipelines using Spark
Job scheduling using Oozie
Data ingestion and transformation techniques
Best practices for Big Data development

Who Should Enroll In This Program?

Software Developers
Data Analysts
BI Professionals
ETL Developers
Data Engineers and Big Data Professionals

Jobs, Salary, and Hiring Companies

Job Roles: Hadoop Developer, Data Engineer, Big Data Engineer
Average Salary (India): ₹7,00,000 - ₹10,00,000 per year
Hiring Companies: TCS, Infosys, Accenture, Capgemini

Key Features

Instructor Led Training : 30 Hrs
100% Money-Back Guarantee
Flexible Schedule
24 X 7 Lifetime Support & Access
Certified Trainers
100% Job Assistance
Get Certified & Get Placed

Hadoop Developer Course Modules

Lesson 1 - Introduction to Apache Hadoop and the Hadoop Ecosystem

1. Introduction to Apache Hadoop and the Hadoop Ecosystem

2. Apache Hadoop Overview

3. Data Ingestion and Storage

4. Data Processing

5. Data Analysis and Exploration

6. Other Ecosystem Tools

7. Introduction to the Hands-On Exercises

Lesson 2 - Apache Hadoop File Storage

1. Apache Hadoop Cluster Components

2. HDFS Architecture

3. Using HDFS

Lesson 3 - Distributed Processing on an Apache Hadoop Cluster

1. YARN Architecture

2. Working With YARN

Lesson 4 - Apache Spark Basics

1. What is Apache Spark?

2. Starting the Spark Shell

3. Using the Spark Shell

4. Getting Started with Datasets and DataFrames

5. DataFrame Operations

Lesson 5 - Working with DataFrames and Schemas

1. Creating DataFrames from Data Sources

2. Saving DataFrames to Data Sources

3. DataFrame Schemas

4. Eager and Lazy Execution

Lesson 6 - Analyzing Data with DataFrame Queries

1. Querying DataFrames Using Column Expressions

2. Grouping and Aggregation Queries

3. Joining DataFrames

Lesson 7 - RDD Overview

1. RDD Overview

2. RDD Data Sources

3. Creating and Saving RDDs

4. RDD Operations

Lesson 8 - Transforming Data with RDDs

1. Writing and Passing Transformation Functions

2. Transformation Execution

3. Converting Between RDDs and DataFrames

Lesson 9 - Aggregating Data with Pair RDDs

1. Key-Value Pair RDDs

2. Map-Reduce

3. Other Pair RDD Operations

Lesson 10 - Querying Tables and Views with Apache Spark SQL

1. Querying Tables in Spark Using SQL

2. Querying Tables in Spark Using SQL

3. The Catalog API

4. Comparing Spark SQL, Apache Impala, and Apache Hive-on-Spark

Lesson 11 - Working with Datasets in Scala

1. Datasets and DataFrames

2. Creating Datasets

3. Loading and Saving Datasets

4. Dataset Operations

Lesson 12 - Writing, Configuring, and Running Apache Spark Applications

1. Writing a Spark Application

2. Building and Running an Application

3. Application Deployment Mode

4. The Spark Application Web UI

5. Configuring Application Properties

Lesson 13 - Distributed Processing

1. Review: Apache Spark on a Cluster

2. RDD Partitions

3. Example: Partitioning in Queries

4. Stages and Tasks

5. Job Execution Planning

6. Example: Catalyst Execution Plan

7. Example: RDD Execution Plan

Lesson 14 - Distributed Data Persistence

1. DataFrame and Dataset Persistence

2. Persistence Storage Levels

3. Viewing Persisted RDDs

Lesson 15 - Common Patterns in Apache Spark Data Processing

1. Common Apache Spark Use Cases

2. Iterative Algorithms in Apache Spark

3. Machine Learning

4. Example: k-means

Lesson 16 - Apache Spark Streaming: Introduction to DStreams

1. Apache Spark Streaming Overview

2. Example: Streaming Request Count

3. DStreams

4. Developing Streaming Applications

Lesson 17 - Apache Spark Streaming: Processing Multiple Batches

1. Multi-Batch Operations

2. Time Slicing

3. State Operations

4. Sliding Window Operations

5. Preview: Structured Streaming

Lesson 18 - Apache Spark Streaming: Data Sources

1. Streaming Data Source Overview

2. Apache Flume and Apache Kafka Data Sources

3. Example: Using a Kafka Direct Data Source

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Hadoop Developer Online Course Fees

Online Class Room Program

US $ 499.00

100% Money Back Guarantee

Duration : 30 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 02 Jun 2026
Weekday Batch 08 Jun 2026
Weekend Batch 06 Jun 2026

Corporate Training

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Flexible Training Schedule Options
Industry Experienced Trainers
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Hadoop Developer Certification

Upon successful completion of the Hadoop Developer Training, you will receive an igmGuru course completion certificate. This certificate validates your knowledge of Hadoop ecosystem components such as HDFS, MapReduce, YARN, Hive, and Apache Spark, along with your ability to work on real-world Big Data and data engineering projects.

Hadoop Developer Certification Training FAQ's

Are there any other online courses igmGuru offers under Big Data?

Yes, igmGuru offers several other online courses under Big Data. These include specialized online courses, tailored to different skill levels. igmGuru greatly emphasizes upskilling and boosting career opportunities across IT industry sectors, with each online course designed to help learners enhance their expertise in Big Data. Below are the Courses:

Are there any other Certification courses igmGuru offers?

Yes, igmGuru offers several other online certification courses. These include specialized online certification courses, tailored to different levels. igmGuru, greatly emphasizes upskilling and boosting career opportunities across any industry sectors, with each online certification course designed to help learners enhance their expertise.

Is the exam expense incorporated into the hadoop certification course charge?

No, It is sad, but this is not the case for the time being!

What devices do I have to go to the instructional meetings?

The devices you'll need are: 1. Windows: Windows XP SP3 or higher 2. Mac: OSX 10.6 or higher 3. Internet speed: Preferably 51 Kbps or higher 4. Headset 5. Speakers 6. Amplifier

Who are the trainers and how are they chosen?

The team of our Qualified mentors are Hadoop ensured. They bear the long stretches of ability to instruct and managing within the cloud space. The final section process includes a vigorous round of screening, specialized examination and an instructing demo before they're ensured to mentor our batches!

What do you mean by Global Teaching Assisatnce?

Our instructing collaborators are over the top group of material experts to help you. The Mentors make sure the Students get their skills sharpened with the help of extended programs and seasons. Training help for big data hadoop developer is open all through business hours.

Who provides the certification for big data developer?

The certification is provided by Cloudera

What are the skills required for a Hadoop developer?

To become a Hadoop Developer, you must possess these skills -

- Strong understanding of the Hadoop ecosystem.

- Knowledge of SQL

- Working experience of Big Data technologies such as Apache Flink and Apache Spark

- Understanding of distributed computing.

- Proficiency in programming languages like Python and Scala.

- Experience in data warehousing and ETL.

- Familiarity with Unix/ Linux OS.

- Strong problem-solving and analytical skills

- Familiarity with Cloud platforms.

I am a Fresher, Is Hadoop easy to learn for me?

We at igmGuru think that Hadoop is approachable for students of all levels, including beginners. It is not necessary to have prior programming or database experience in order to learn Hadoop, though it might be helpful. Our extensive Hadoop training course is meant to give students a firm grounding in big data theory, the various parts of the Hadoop ecosystem, and practical experience. Even beginners can understand the core ideas and become proficient in Hadoop with professional assistance and step-by-step education. The learning process is easy and enjoyable thanks to constant practice, practical projects, and help from our knowledgeable instructors. So yeah, even as a newbie, Hadoop is definitely attainable.

What is the salary of Hadoop developer?

The salary range for a Hadoop Developer in India is typically between ₹3.0 Lakhs to ₹11.5 Lakhs, with an average annual salary of ₹5.5 Lakhs. In the United States, Hadoop Developer salaries can range from $60,000 to $150,000 per year, depending on factors such as experience, location, and company size.

How do I become a Hadoop developer?

To become a Hadoop Developer -

-Understand the basics of Hadoop

-Learn the required skills (programming languages, SQL, Linux fundamentals, etc.)

-Learn about Hadoop components -Gain knowledge about associated languages like PigLatin, HiveQL, etc.

-Gain understanding of ETL -Earn the right certification.

Is Hadoop good for Career?

Hadoop jobs are experiencing an all-time high. Today, there is a great demand for these professionals and the surge is going to stay the way in the future too.

Is Hadoop in demand?

The demand for Hadoop Big Data Analytics Solutions is rising, which is directly proportional to the rising demand for Hadoop professionals. igmGuru’s course will help you learn from industry experts and unlock doors to the finest job opportunities.

Is Hadoop certification worth it?

Gaining expertise in Hadoop and entering the big data space can be accomplished by obtaining Hadoop certification. If one has a valid Hadoop certification, it is easier to get an entry-level Hadoop job for experience and to advance your big data career. This certification aids in elevating the candidate's profile to the top of the 'to interview' list.

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