Corporate Hadoop Developer Training Course

Name: Hadoop Developer Training
Availability: InStock

Edstellar's customizable Hadoop Developer instructor-led training course is a comprehensive solution designed to equip organizations to develop scalable applications, perform data analysis, and derive valuable insights from large datasets. Through this training, teams gain expertise in Hadoop ecosystem components, data processing, and analysis.

Duration

24 - 26 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Hadoop Developer Corporate Training

The role of a Hadoop Developer is crucial in the ever-evolving data-driven world. Hadoop is a powerful open-source framework that allows organizations to process and analyze large volumes of data in a distributed and scalable manner. To build efficient data pipelines, perform data analysis, and develop applications that can handle big data workloads, organizations have to focus on providing virtual and onsite Hadoop Developer training for Hadoop development, covering key concepts, tools, and techniques.

Edstellar's Hadoop Developer instructor-led training course enables Hadoop developers to have a solid understanding of Hadoop's architecture, its various components, and the programming models used for data processing. Knowledge about the overall Hadoop ecosystem provides employees insight into HDFS and an understanding of how data is stored and managed in a distributed environment.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Hadoop Security
Hadoop Security involves implementing measures to protect data and resources in Hadoop ecosystems. This skill is important for data engineers and administrators to ensure data integrity, compliance, and safeguard against unauthorized access.
Application Troubleshooting
Application Troubleshooting is the ability to diagnose and resolve software issues effectively. this skill is important for IT support roles, ensuring seamless user experiences and system reliability.
Data Management Best Practices
Data Management Best Practices involve organizing, storing, and maintaining data efficiently. This skill is important for roles in data analysis and IT, ensuring data integrity, accessibility, and security.
Hadoop Data Pipelines
Hadoop Data Pipelines involve designing and managing data workflows using Hadoop tools. This skill is important for data engineers and analysts to efficiently process large datasets.
MapReduce Development
MapReduce Development is the process of creating applications that process large data sets across distributed systems. This skill is important for data engineers and analysts, as it enables efficient data handling and analysis, crucial for informed decision-making.
Hive and Pig Integration
Hive And Pig Integration involves using Apache Hive and Apache Pig for data processing and analysis in big data environments. This skill is important for data engineers and analysts to efficiently manage and query large datasets, enabling informed decision-making and insights.

What Your Team Will Achieve After This Training

Utilize Hadoop security mechanisms to ensure data protection and access control
Troubleshoot and debug Hadoop applications and resolve performance bottlenecks
Apply best practices for data ingestion, storage, and retrieval in Hadoop environments
Design and implement Hadoop data pipelines for efficient data processing and transformation
Create MapReduce applications to process and analyze large datasets in a distributed environment
Apply Hadoop ecosystem tools such as Hive and Pig for data modeling, querying, and data processing
Evaluate Hadoop cluster performance and optimize resource utilization for enhanced data processing efficiency
Analyze complex data requirements and develop scalable Hadoop-based solutions to address organizational needs

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Introduction to Hadoop

Big Data - Big value
- Characteristics of Big Data
- Value of Big Data in Organizations
Understanding Big Data
- Volume, Velocity, Variety, Veracity, and Value of Data
Hadoop and other Solutions
- Comparison with other Big Data Technologies (e.g., Spark, NoSQL)
Distributed Architecture - A Brief Overview
- Distributed Computing Fundamentals
- Hadoop Distributed File System (HDFS)
- Hadoop Cluster Architecture
Hadoop Releases
- Versioning and Release History of Hadoop

Hadoop setup

Setup Hadoop
- Installation and Configuration of Hadoop
- Setting Up Single-Node and Multi-Node Clusters
Linux (Ubuntu) - Tips and Tricks
- Linux Commands and Shell Basics
- Common Linux Utilities for Hadoop
HDFS commands
- Basic HDFS Operations (e.g., ls, mkdir, put, get)
- File Manipulation in HDFS (e.g., cp, mv, rm)
Running a MapRed Program
- Writing MapReduce Jobs in Java
- Compiling and Executing MapReduce Programs

HDFS Architecture and Concepts

HDFS Concepts I
- Data Blocks and Replication
- Namenode and Datanode
HDFS Architecture
- Namenode and Datanode Architecture
- Block Placement and Replication
HDFS Read and Write
- Reading Data from HDFS
- Writing Data to HDFS
HDFS Concepts II
- Rack Awareness and Data Locality
- HDFS Federation and High Availability
Special Commands
- HDFS Administrative Commands
- Maintenance and Monitoring of HDFS

Understanding MapReduce

MapReduce Introduction
- MapReduce Paradigm and Data Processing Model
- MapReduce Workflow and Phases
Understanding MapReduce
- Mapper, Reducer, and Partitioner Functions
- Data Shuffling and Sorting
Running First MapReduce Program
- Developing and Executing a Simple MapReduce Program
Combiner And Tool Runner
- Combiner Function for Intermediate Data Aggregation
- Tool Runner for MapReduce Program Execution

MapReduce Types and Formats

MapReduce Types and Formats
- Input and Output Formats in MapReduce
- Text, Sequence, and Custom Input/Output Formats
Experiments with Defaults
- Default Input and Output Formats
- Default Data Serialization
IO Format Classes
- Using Different Input/Output Formats
- Working with KeyValue, Avro, and Parquet Formats
Experiments with File Output - Advanced Concept
- Customizing File Output Formats
- File Compression Techniques in MapReduce

Classic MapReduce and Yarn

Anatomy of MapReduce job run
- MapReduce Job Execution Flow
- Task Execution and Communication
Job Run - Classic MapReduce
- Job Configuration and Submission
- Monitoring and Tracking MapReduce Jobs
Failure Scenarios - Classic Map Reduce
- Handling Task Failures and Job Recovery
- Debugging and Troubleshooting MapReduce Jobs
Job Run - YARN
- YARN Architecture and Components
- MapReduce Job Execution on YARN
Failure Scenario - YARN
- YARN Failures and Fault Tolerance Mechanisms
- Recovering Failed YARN Applications
Job Scheduling in MapReduce
- Task Scheduling Algorithms in MapReduce
- Speculative Execution and Task Prioritization
Shuffle and Sort
- Map Output Shuffle and Sort Phases
- Partitioning and Sorting Techniques
Performance Tuning Features
- Performance Optimization in MapReduce Jobs
- Configuring MapReduce Parameters for Efficiency

Advanced MapReduce Concepts

Looking at Counters
- Monitoring Job Progress with Counters
- Implementing Custom Counters
Hands-on - Counters
- Hands-on Exercises with Counters
- Analyzing Job Metrics with Counters
Sorting Ideas with Partitioner
- Custom Partitioning Techniques
- Partitioner Function Implementation
Map Side Join Operation
- Map-Side Join Concept and Implementation
- Optimizing Map-Side Join Performance
Reduce Side Join Operation
- Reduce-Side Join Concept and Implementation
- Handling Data Skew in Reduce-Side Joins
Side Distribution of Data
- Distributed Cache in MapReduce Jobs
- Sharing Files and Archives across Nodes
Hadoop Streaming and Hadoop Pipes
- Integrating Non-Java Programs with MapReduce
- Using Streaming API and Pipes API

Introduction to Hadoop Ecosystem

Introduction to Pig
- Pig Language and Data Processing Operations
- Executing Pig Scripts in Hadoop
Introduction to Hive
- Hive Architecture and Data Warehousing Concepts
- Querying and Analyzing Data with Hive
Introduction to Sqoop
- Sqoop Overview and Features
- Importing and Exporting Data using Sqoop
Knowing Sqoop
- Advanced Sqoop Techniques and Transformations
- Sqoop Incremental Imports and ETL Operations
Introduction to Ecosystem
- Overview of Other Hadoop Ecosystem Tools and Technologies

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Engineers
Big Data Developers
Software Engineers
Java Developers
Python Developers
ETL Developers
Full Stack Developers
Data Architects
Big Data Managers
Technical Leads
Data Analysts
BI Developers

What are the Prerequisites?

A prior knowledge and experience in basic programming concepts, familiarity with Linux operating systems, and an understanding of SQL and relational databases is needed to benefit from the Hadoop Developer training course.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"Attending the Hadoop Developer training was transformational for my professional development. As a Senior Software Engineer, the deep dive into advanced methodologies gave me the confidence to tackle complex challenges real-world case studies were immediately applicable to my work. My productivity and technical capabilities have increased dramatically since applying these concepts. This course has become foundational to my continued success.”

Ashley Hopkins

Senior Software Engineer,

Digital Innovation Platform

"This Hadoop Developer course equipped me with comprehensive industry best practices expertise that I've seamlessly integrated into our professional services practice. The hands-on modules covering interactive labs and hands-on design solutions that consistently deliver measurable business results. Our solution delivery efficiency and quality have increased substantially across the board, validating the immediate impact of this training program.”

Petr Novotny

Senior Software Engineer,

Enterprise Software Development Firm

"The Hadoop Developer training gave our team advanced practical applications expertise that revolutionized our professional expertise approach. As a Senior Software Engineer, understanding practical simulations and real-world case our entire portfolio. We completed our comprehensive digital transformation initiative significantly ahead of schedule. This training has become foundational to our team's strategic capabilities and continued growth.”

Karim Farouk

Senior Software Engineer,

Global Technology Solutions Provider

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

We have Expert Trainers to Meet Your Hadoop Developer Training Needs

The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

Sanket

Pune, India

Trainer since

July 1, 2015

Corporate Hadoop Developer Training Course

Drive Team Excellence with Hadoop Developer Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Introduction to Hadoop

Hadoop setup

HDFS Architecture and Concepts

Understanding MapReduce

MapReduce Types and Formats

Classic MapReduce and Yarn

Advanced MapReduce Concepts

Introduction to Hadoop Ecosystem

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

We have Expert Trainers to Meet Your Hadoop Developer Training Needs

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