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Advanced Hadoop Development Training

Advanced Hadoop Development Training provides complete Big Data ecosystem knowledge including HDFS, MapReduce, Hive, Pig, Sqoop, Flume, Spark, Yarn & Cluster Administration. This course helps learners build scalable distributed data applications using hands-on real-time projects. After training, you will be able to develop, manage and deploy production level Hadoop-based data solutions.

Course Requirement

Basic programming or database knowledge is recommended. Suitable for students, graduates, working professionals aiming for Big Data roles.

  • Understanding of programming or SQL basics
  • Good analytical & logical thinking
  • Interest in Big Data Technologies
  • Commitment to practice & apply concepts

Professional Experience

Students will learn how to process massive datasets using Hadoop and Spark. Training includes real-world implementations of ETL pipelines, distributed data storage and cluster deployment. Career scope includes Big Data Engineer, Hadoop Developer, Data Engineer, ETL Specialist etc.


Course Curriculum / Syllabus

1. Hadoop Fundamentals
  • Big Data & Hadoop Ecosystem
  • HDFS Architecture & Data Flow
  • MapReduce Deep Dive
  • HDFS Commands & File Handling
2. Hadoop Ecosystem Tools
  • Hive (Queries, Tables, Partitions)
  • Pig, Sqoop, Flume Usage
  • Data Warehousing Concepts
3. Yarn & Cluster Administration
  • Resource Management & Scheduling
  • Monitoring Nodes & Jobs
  • Fault Tolerance & Replication
4. Spark Integration
  • Spark Core & RDD Programming
  • Spark SQL & DataFrames
  • Streaming & Real-time Processing
5. Security & Optimization
  • Kerberos & Access Control
  • Job Performance Tuning
  • Storage Optimization
6. Projects
  • ETL Data Pipeline Project
  • Spark Streaming Application
  • End-to-End Hadoop Implementation