Enterprise Hadoop Administration with Cloudera

Description:

This hands-on training enables participants to master the administration of Cloudera Hadoop clusters in enterprise environments. Through real-world use cases and guided labs, attendees will learn to plan, install, secure, monitor, and maintain scalable Hadoop infrastructure.

Key components of the Hadoop ecosystem—such as HDFS, YARN, Hive, HBase, Spark, and Cloudera Manager—are covered in depth, including high availability setup, cluster balancing, backup strategies, security (Kerberos), and troubleshooting techniques. Designed for IT professionals managing Big Data environments, this training provides deep insights into running production-grade Hadoop clusters with best practices and tools from Cloudera.

Duration: 4 Days

Course Code: BDT 503

Learning Objectives:

By the end of this course, participants will be able to:

• Plan and deploy Hadoop clusters using Cloudera Manager.
• Configure and manage HDFS, YARN, and core Hadoop services.
• Perform ingest operations using Flume and Sqoop, and understand data workflows.
• Monitor and secure Hadoop clusters, including Kerberos configuration.
• Integrate and manage tools like Hive, HBase, Spark, Pig, and NiFi.
• Execute cluster maintenance tasks such as upgrades, scaling, and rebalancing.

 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