Hadoop Administration & Cluster Management

Course Overview

Gain industrial-grade skills in deploying, administering, scaling, and securing enterprise Apache Hadoop environments. This production-focused training covers the end-to-end operational lifecycle of big data infrastructure, from physical cluster architecture and HDFS storage tuning to resource management with YARN and multi-tenant security configuration. Learn how to maintain peak operational performance, prevent cluster downtime, and optimize multi-node setups.

Key Learning Outcomes

• Deploy, configure, and maintain production-grade multi-node Apache Hadoop clusters from scratch.
• Manage HDFS architecture, NameNode high availability, rack awareness, and block replication strategies.
• Configure YARN resource schedulers (Capacity, Fair Scheduler), MapReduce engines, and dynamic allocation.
• Implement enterprise cluster security using Kerberos, Ranger, Knox, and wire encryption protocol.

Detailed Syllabus

• Module 1: Big Data Architecture & Cluster Setup: Hardware sizing, OS pre-requisites, automated deployment, and Apache Ambari/Cloudera tools.
• Module 2: HDFS Storage Administration: NameNode federation, HA configuration, safe mode troubleshooting, and HDFS balancing strategies.
• Module 3: YARN & Ecosystem Integration: Resource queues, job scheduling, memory allocation, and integration with Hive, Pig, and HBase.
• Module 4: Cluster Operations, Security & Maintenance: Kerberos authentication, data encryption at rest/transit, cluster backup, upgrade strategies, and node expansion.

Target Audience & Prerequisites

Designed for system administrators, DevOps engineers, and infrastructure architects. Prerequisites include fundamental Linux command-line skills, basic networking knowledge, and familiarity with server virtualization.