Drive Team Excellence with Hadoop Developer Corporate Training

Empower your teams with expert-led on-site, off-site, and virtual Hadoop Developer Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

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.

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Key Skills Employees Gain from instructor-led Hadoop Developer Training

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

  • 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.

Key Learning Outcomes of Hadoop Developer Training Workshop for Employees

Upon completing Edstellar’s Hadoop Developer workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

  • 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 Group Training

Attending our Hadoop Developer group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

  • 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

Topics and Outline of Hadoop Developer Training

Our virtual and on-premise Hadoop Developer training curriculum is structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it both 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

Who Can Take the Hadoop Developer Training Course

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

  • 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

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.

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Delivering Training for Organizations across 100 Countries and 10+ Languages

Corporate Group Training Delivery Modes
for Hadoop Developer Training

At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Hadoop Developer training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

 Virtual trainig

Edstellar's Hadoop Developer virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations
The consistent training quality ensures uniform learning outcomes
Participants can attend training in their own space without the need for traveling
Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
 On-site trainig

Edstellar's Hadoop Developer inhouse training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
Team collaboration and knowledge sharing improves training effectiveness
Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
 Off-site trainig

Edstellar's Hadoop Developer offsite group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development

Explore Our Customized Pricing Package
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Hadoop Developer Corporate Training

Looking for pricing details for onsite, offsite, or virtual instructor-led Hadoop Developer training? Get a customized proposal tailored to your team’s specific needs.

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        Edstellar: Your Go-to Hadoop Developer Training Company

        Experienced Trainers

        Our trainers bring years of industry expertise to ensure the training is practical and impactful.

        Quality Training

        With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

        Industry-Relevant Curriculum

        Our course is designed by experts and is tailored to meet the demands of the current industry.

        Customizable Training

        Our course can be customized to meet the unique needs and goals of your organization.

        Comprehensive Support

        We provide pre and post training support to your organization to ensure a complete learning experience.

        Multilingual Training Capabilities

        We offer training in multiple languages to cater to diverse and global teams.

        Testimonials

        What Our Clients Say

        We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

        "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

        Get Your Team Members Recognized with Edstellar’s Course Certificate

        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.

        Certificate of Excellence

        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.

        Hadoop Developer Trainer in Pune
        Sanket
        Pune, India
        Trainer since
        July 1, 2015

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