Corporate Hadoop Developer Training Course

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.

24 - 26 hrs
Instructor-led (On-site/Virtual)
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Hadoop Developer Training

Drive Team Excellence with Hadoop Developer Training for Employees

Empower your teams with expert-led on-site/in-house or virtual/online Hadoop Developer Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Hadoop Developer corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Hadoop Developer group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

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.

Key Skills Employees Gain from Hadoop Developer Training

Hadoop Developer skills corporate training will enable teams to effectively apply their learnings at work.

  • Hadoop Security
  • Application Troubleshooting
  • Data Management Best Practices
  • Hadoop Data Pipelines
  • MapReduce Development
  • Hive and Pig Integration

Key Learning Outcomes of Hadoop Developer Training

Edstellar’s Hadoop Developer training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Hadoop Developer workshop, teams will to master essential Hadoop Developer and also focus on introducing key concepts and principles related to Hadoop Developer at work.

Employees who complete Hadoop Developer training will be able to:

  • 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

Key Benefits of the Hadoop Developer Corporate Training

Attending our Hadoop Developer classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Hadoop Developer training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Hadoop Developer.

  • Evaluate the performance and scalability of Hadoop applications
  • Ensure professionals understand the core concepts of Hadoop architecture, components, and ecosystem
  • Enable the professionals to create powerful and scalable applications to process and analyze large datasets
  • Develop data pipelines and perform data transformations that align with the organization's specific requirements
  • Equip the organization to extract meaningful information from vast amounts of data and make informed business decisions

Hadoop Developer Training Topics and Outline

Our virtual and on-premise Hadoop Developer training curriculum is divided into multiple modules designed by industry experts. This Hadoop Developer training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Big Data - Big value
    • Characteristics of Big Data
    • Value of Big Data in Organizations
  2. Understanding Big Data
    • Volume, Velocity, Variety, Veracity, and Value of Data
  3. Hadoop and other Solutions
    • Comparison with other Big Data Technologies (e.g., Spark, NoSQL)
  4. Distributed Architecture - A Brief Overview
    • Distributed Computing Fundamentals
    • Hadoop Distributed File System (HDFS)
    • Hadoop Cluster Architecture
  5. Hadoop Releases
    • Versioning and Release History of Hadoop
  1. Setup Hadoop
    • Installation and Configuration of Hadoop
    • Setting Up Single-Node and Multi-Node Clusters
  2. Linux (Ubuntu) - Tips and Tricks
    • Linux Commands and Shell Basics
    • Common Linux Utilities for Hadoop
  3. HDFS commands
    • Basic HDFS Operations (e.g., ls, mkdir, put, get)
    • File Manipulation in HDFS (e.g., cp, mv, rm)
  4. Running a MapRed Program
    • Writing MapReduce Jobs in Java
    • Compiling and Executing MapReduce Programs
  1. HDFS Concepts I
    • Data Blocks and Replication
    • Namenode and Datanode
  2. HDFS Architecture
    • Namenode and Datanode Architecture
    • Block Placement and Replication
  3. HDFS Read and Write
    • Reading Data from HDFS
    • Writing Data to HDFS
  4. HDFS Concepts II
    • Rack Awareness and Data Locality
    • HDFS Federation and High Availability
  5. Special Commands
    • HDFS Administrative Commands
    • Maintenance and Monitoring of HDFS
  1. MapReduce Introduction
    • MapReduce Paradigm and Data Processing Model
    • MapReduce Workflow and Phases
  2. Understanding MapReduce
    • Mapper, Reducer, and Partitioner Functions
    • Data Shuffling and Sorting
  3. Running First MapReduce Program
    • Developing and Executing a Simple MapReduce Program
  4. Combiner And Tool Runner
    • Combiner Function for Intermediate Data Aggregation
    • Tool Runner for MapReduce Program Execution
  1. MapReduce Types and Formats
    • Input and Output Formats in MapReduce
    • Text, Sequence, and Custom Input/Output Formats
  2. Experiments with Defaults
    • Default Input and Output Formats
    • Default Data Serialization
  3. IO Format Classes
    • Using Different Input/Output Formats
    • Working with KeyValue, Avro, and Parquet Formats
  4. Experiments with File Output - Advanced Concept
    • Customizing File Output Formats
    • File Compression Techniques in MapReduce
  1. Anatomy of MapReduce job run
    • MapReduce Job Execution Flow
    • Task Execution and Communication
  2. Job Run - Classic MapReduce
    • Job Configuration and Submission
    • Monitoring and Tracking MapReduce Jobs
  3. Failure Scenarios - Classic Map Reduce
    • Handling Task Failures and Job Recovery
    • Debugging and Troubleshooting MapReduce Jobs
  4. Job Run - YARN
    • YARN Architecture and Components
    • MapReduce Job Execution on YARN
  5. Failure Scenario - YARN
    • YARN Failures and Fault Tolerance Mechanisms
    • Recovering Failed YARN Applications
  6. Job Scheduling in MapReduce
    • Task Scheduling Algorithms in MapReduce
    • Speculative Execution and Task Prioritization
  7. Shuffle and Sort
    • Map Output Shuffle and Sort Phases
    • Partitioning and Sorting Techniques
  8. Performance Tuning Features
    • Performance Optimization in MapReduce Jobs
    • Configuring MapReduce Parameters for Efficiency
  1. Looking at Counters
    • Monitoring Job Progress with Counters
    • Implementing Custom Counters
  2. Hands-on - Counters
    • Hands-on Exercises with Counters
    • Analyzing Job Metrics with Counters
  3. Sorting Ideas with Partitioner
    • Custom Partitioning Techniques
    • Partitioner Function Implementation
  4. Map Side Join Operation
    • Map-Side Join Concept and Implementation
    • Optimizing Map-Side Join Performance
  5. Reduce Side Join Operation
    • Reduce-Side Join Concept and Implementation
    • Handling Data Skew in Reduce-Side Joins
  6. Side Distribution of Data
    • Distributed Cache in MapReduce Jobs
    • Sharing Files and Archives across Nodes
  7. Hadoop Streaming and Hadoop Pipes
    • Integrating Non-Java Programs with MapReduce
    • Using Streaming API and Pipes API
  1. Introduction to Pig
    • Pig Language and Data Processing Operations
    • Executing Pig Scripts in Hadoop
  2. Introduction to Hive
    • Hive Architecture and Data Warehousing Concepts
    • Querying and Analyzing Data with Hive
  3. Introduction to Sqoop
    • Sqoop Overview and Features
    • Importing and Exporting Data using Sqoop
  4. Knowing Sqoop
    • Advanced Sqoop Techniques and Transformations
    • Sqoop Incremental Imports and ETL Operations
  5. Introduction to Ecosystem
    • Overview of Other Hadoop Ecosystem Tools and Technologies

Hadoop Developer Corporate Training Prices

Our Hadoop Developer training for enterprise teams is tailored to your specific upskilling needs. Explore transparent pricing options that fit your training budget, whether you're training a small group or a large team. Discover more about our Hadoop Developer training cost and take the first step toward maximizing your team's potential.

Request for a quote to know about our Hadoop Developer corporate training cost and plan the training initiative for your teams. Our cost-effective Hadoop Developer training pricing ensures you receive the highest value on your investment.

Request for a Quote

Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your Hadoop Developer training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..

Starter Package

125 licenses

64 hours of training (includes VILT/In-person On-site)

Tailored for SMBs

Most Popular
Growth Package

350 licenses

160 hours of training (includes VILT/In-person On-site)

Ideal for growing SMBs

Enterprise Package

900 licenses

400 hours of training (includes VILT/In-person On-site)

Designed for large corporations

Custom Package

Unlimited licenses

Unlimited duration

Designed for large corporations

View Corporate Training Packages

Hadoop Developer Course Completion Certificate

Upon successful completion of the Hadoop Developer training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development. This certificate validates the employees' acquired skills and serves as a powerful motivator, inspiring them to further enhance their expertise and contribute effectively to organizational success.

Target Audience for Hadoop Developer Training Course

The Hadoop Developer training course is designed for software developers, database administrators, data engineers, technology managers and leaders responsible for overseeing data-related projects and initiatives in the Hadoop ecosystem.

The Hadoop Developer training program can also be taken by professionals at various levels in the organization.

Hadoop Developer training for managers

Hadoop Developer training for staff

Hadoop Developer training for leaders

Hadoop Developer training for executives

Hadoop Developer training for workers

Hadoop Developer training for businesses

Hadoop Developer training for beginners

Hadoop Developer group training

Hadoop Developer training for teams

Hadoop Developer short course

Prerequisites for Hadoop Developer Training

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.

Bringing you the Best Hadoop Developer Trainers in the Industry

The instructor-led Hadoop Developer 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 Hadoop Developer Access practices.

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Training Delivery Modes for Hadoop Developer Group Training

At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online Hadoop Developer training for companies. This method has proven to be the most effective, outcome-oriented and well-rounded training experience to get the best training results for your teams.

Training Mode

Instructor-led Training

Engaging and flexible online sessions delivered live, allowing professionals to connect, learn, and grow from anywhere in the world.

Training Mode

Instructor-led Training

Customized, face-to-face learning experiences held at your organization's location, tailored to meet your team's unique needs and objectives.

Training Mode

Instructor-led Training

Interactive workshops and seminars conducted at external venues, offering immersive learning away from the workplace to foster team building and focus.

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