Big Data Hadoop Developer Certification

Module 1: Introduction to Hadoop

• Big Data Fundamentals
• Hadoop Overview
• Hadoop Ecosystem
• Distributed Computing
• Industry Applications

Module 2: Hadoop Architecture

• Hadoop Components
• HDFS Architecture
• NameNode and DataNode
• Cluster Architecture
• Fault Tolerance

Module 3: Installing and Configuring Hadoop

• Environment Setup
• Hadoop Installation
• Configuration Files
• Cluster Configuration
• Administration Basics

Module 4: Hadoop Distributed File System (HDFS)

• HDFS Concepts
• File Storage
• Block Management
• Replication
• HDFS Commands

Module 5: MapReduce Programming

• MapReduce Architecture
• Mapper Functions
• Reducer Functions
• Job Execution
• Performance Optimization

Module 6: YARN Resource Management

• YARN Architecture
• Resource Manager
• Node Manager
• Application Management
• Resource Scheduling

Module 7: Apache Hive

• Hive Architecture
• HiveQL Basics
• Tables and Partitions
• Query Processing
• Data Warehousing Concepts

Module 8: Apache Pig

• Pig Architecture
• Pig Latin Basics
• Data Transformation
• Data Processing
• Scripting Techniques

Module 9: Apache HBase

• HBase Architecture
• NoSQL Concepts
• Tables and Column Families
• CRUD Operations
• HBase Administration

Module 10: Apache Sqoop

• Sqoop Overview
• Importing Data
• Exporting Data
• Database Integration
• Data Migration

Module 11: Apache Flume

• Flume Architecture
• Data Ingestion
• Sources
• Channels
• Sinks

Module 12: Apache Oozie

• Workflow Scheduling
• Job Coordination
• Workflow Management
• Automation
• Scheduling Best Practices

Module 13: Hadoop Security

• Authentication
• Authorization
• Access Control
• Data Security
• Security Best Practices

Module 14: Performance Optimization

• Cluster Optimization
• Data Compression
• Partitioning
• Resource Optimization
• Performance Tuning

Module 15: Monitoring and Troubleshooting

• Cluster Monitoring
• Log Analysis
• Error Diagnosis
• Performance Monitoring
• Troubleshooting Techniques

Module 16: Hadoop Administration

• Cluster Management
• User Management
• Storage Management
• Backup and Recovery
• Maintenance Tasks

Module 17: Integration with Big Data Tools

• Apache Spark Integration
• Kafka Integration
• NoSQL Integration
• Cloud Storage Integration
• Enterprise Data Pipelines

Module 18: Cloud Deployment

• Hadoop on Cloud
• Managed Hadoop Services
• Container Deployment
• Scaling Strategies
• Deployment Best Practices

Module 19: Data Engineering Workflows

• ETL Pipelines
• Data Processing
• Data Transformation
• Batch Processing
• Workflow Automation

Module 20: Testing and Debugging

• Unit Testing
• Integration Testing
• Data Validation
• Debugging Strategies
• Performance Testing

Module 21: Production Best Practices

• Code Organization
• Documentation
• Operational Excellence
• High Availability
• Production Readiness

Module 22: Big Data Hadoop Developer Project

• HDFS Data Storage
• MapReduce Application Development
• Hive Data Processing
• Cluster Performance Optimization
• Project Deployment