This course is ideal for:

• System Administrators and IT Infrastructure Engineers
• Hadoop/Big Data Administrators
• DevOps Engineers responsible for Big Data operations
• Data Engineers working with distributed systems
• Professionals preparing for Cloudera Administrator Certification.

• Familiarity with basic Linux/Unix commands and shell scripting.
• Understanding of distributed systems or prior exposure to Big Data concepts is helpful.
• Some exposure to SQL and network concepts is an advantage.

Course Outline:

Module 1: Big Data and Hadoop Introduction

• What is Big Data and the 3 Vs and 4 Vs
• Structured vs. Unstructured vs. Semi-Structured Data
• CAP Theorem & NoSQL
• Hadoop Use Cases and Industry Adoption
• Hadoop Generations (Gen 1 vs. Gen 2)
• Hadoop Distributions and Ecosystem Overview

Module 2: Hadoop Cluster Planning

• Hardware Sizing (NameNode, DataNode)
• Network Planning and Virtualization
• Best Practices in Hadoop Cluster Architecture

Module 3: Linux Foundations for Hadoop

• Key Linux commands and administration for Hadoop deployment
• OS tuning and settings for optimal Hadoop performance

Module 4: Hadoop Installation with Cloudera Manager

• Overview of Cloudera Manager
• Cloudera Manager installation and setup
• Hadoop services installation using CM
• Cluster configuration files (site.xml, core-site.xml)
• Best practices in cluster setup

Module 5: HDFS Administration

• HDFS Concepts and Architecture
• HDFS File Shell and Permissions
• Ingesting data using Flume and Sqoop
• Rack Awareness Configuration
• Quota Management
• HDFS High Availability

Module 6: YARN & MapReduce

• Gen 2 Hadoop and YARN Introduction
• Resource Management with YARN
• MapReduce Concepts and Execution Phases
• Capacity Scheduler and Tuning
• YARN Troubleshooting and Logs

Module 7: Apache Spark Overview

• Spark Architecture and In-Memory Processing
• Spark vs. MapReduce/YARN
• Use Cases and Cloudera Integration

Module 8: Hadoop Client Interfaces

• Hadoop Clients: Configuration and Access
• Hue: Setup and Use
• Client Troubleshooting

Module 9: Configuration, Logs & Troubleshooting

• Service-level configuration (HDFS, YARN)
• Log directories and diagnostics
• Real-world deployment patterns
• Common failure points and log analysis

Module 10: Ecosystem Tools – Installation & Overview

• Hive: Setup and Query Execution
• HBase: Basics and Architecture
• Pig and Grunt Shell
• Kudu vs. HDFS: Use Case Comparison
• Tool-specific logs and troubleshooting

Module 11: Hadoop Backup & Recovery

• Backup Strategies and Tools
• What and when to back up
• Best practices for production environments

Module 12: Hadoop Security

• Hadoop Security Landscape
• Kerberos Authentication Flow
• Configuring Secure Clusters
• Best practices for data protection

Module 13: Cluster Maintenance

• Adding/Removing Nodes
• Rebalancing and Health Checks
• Upgrades and Configuration Snapshots
• Data Migration and Snapshots

Module 14: Monitoring and Reporting

• Cloudera Manager Monitoring Features
• Reports and Health Dashboards
• HA Monitoring and Alert Configuration
• Integration with External Tools (Ticketing/Email)

Module 15: Additional Tools & Concepts

• Overview of Apache NiFi
• When and how to use NiFi in Hadoop data flow

Training Material Provided:

• Course slides and reference guides