A Hadoop Developer is responsible for designing, building, and managing applications that process large-scale data using the Hadoop ecosystem. kodestree’s Hadoop Developer training online is aligned with modern Big Data and Data Engineering practices used in the industry today.
This Big Data Hadoop Developer 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
While no prior Hadoop experience is required, you will benefit from having:
- 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
Course Objectives
Upon completing this Hadoop Developer course, learners will be able to:
- Understand the architecture and components of the Hadoop ecosystem
- Install and configure Hadoop in standalone and cluster environments
- Work efficiently with HDFS for distributed data storage
- Develop MapReduce programs for large-scale data processing
- Query and analyze data using Apache Hive
- Process semi-structured and unstructured data with Apache Pig
- Implement distributed resource management using YARN
- Transfer data between relational databases and Hadoop using Sqoop
- Perform real-time and batch data processing using Apache Spark
- Optimize Hadoop applications for better performance and scalability
- Build end-to-end Big Data pipelines using Hadoop ecosystem tools
- Prepare confidently for Hadoop Developer Certification assessments
5+ Tools Covered In This Program
The following are the essential tools covered in this program.
- Apache Hadoop
- Hadoop HDFS
- MapReduce
- Apache Hive
- Apache Pig
- Apache Spark
- Apache Sqoop
- Apache YARN
- Hadoop Common
- Linux
- HBase (Introduction)
- ZooKeeper (Overview)
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
- Big Data Professionals
Jobs, Salary, and Hiring Companies
- Job Roles: Hadoop Developer, Data Engineer, Big Data Engineer, Apache Spark Developer
- Average Salary (India and USA): ₹11.8 LPA and $124,000 per year.
- Hiring Companies: TCS, Infosys, Accenture, Capgemini, Amazon, Google, CISCO
Why Choose kodestree for This Training?
kodestree delivers practical, career-focused learning designed to help professionals build in-demand Big Data skills with confidence.
- Latest and Industry-aligned curriculum
- Experienced trainers with real-world expertise
- Instructor-led live online sessions
- Hands-on labs and practical exercises
- Real-world case studies
- Capstone project experience
- Lifetime access to learning resources
- Certification preparation guidance
- Interview and career assistance