Big Data Hadoop Administration Certification Training
An in-depth, lab-driven Hadoop Administration course that equips you with the skills to deploy, secure, and optimize enterprise-scale Big Data clusters.
What will you learn in Big Data Hadoop Administration Certification Training Course
Install, configure, and manage Hadoop clusters (HDFS, YARN, MapReduce) on Linux
Administer Hadoop ecosystem components: Hive, HBase, Oozie, Sqoop, and Flume
Monitor cluster health, tune performance, and troubleshoot common issues
Secure Hadoop deployments with Kerberos authentication, HDFS ACLs, and Ranger policies
Implement high availability (NameNode HA, ResourceManager HA), federation, and disaster recovery
Program Overview
Module 1: Hadoop Architecture & Setup
⏳ 1 week
Topics: Hadoop ecosystem overview, node roles, architecture components
Hands-on: Install Java and Hadoop prerequisites; configure single-node and pseudo-distributed clusters
Module 2: HDFS Administration
⏳ 1 week
Topics: HDFS commands, block replication, storage policies, quotas
Hands-on: Create directories and files, simulate DataNode failure, and verify automatic replication
Module 3: YARN & MapReduce Management
⏳ 1 week
Topics: YARN ResourceManager/NodeManager, application lifecycles, MapReduce job monitoring
Hands-on: Submit and monitor MapReduce jobs; tune memory and container settings
Module 4: Ecosystem Component Administration
⏳ 1 week
Topics: Hive metastore setup, HBase schema design, Oozie workflows, Sqoop imports/exports, Flume agents
Hands-on: Deploy and configure Hive, create HBase tables, schedule an Oozie workflow, and ingest data with Flume/Sqoop
Module 5: High Availability & Federation
⏳ 1 week
Topics: NameNode HA with ZooKeeper, ResourceManager HA, HDFS federation architecture
Hands-on: Configure a two-NameNode HA cluster and test failover; set up multiple namespaces with federation
Module 6: Security & Access Control
⏳ 1 week
Topics: Kerberos fundamentals, HDFS ACLs, Ranger/Knox integration, SSL encryption
Hands-on: Secure the cluster with Kerberos, define HDFS ACLs, and apply Ranger policies for Hive access
Module 7: Cluster Monitoring & Performance Tuning
⏳ 1 week
Topics: Metrics collection (Ambari/Grafana), log analysis, JVM tuning, network/file system optimization
Hands-on: Set up Ambari dashboards, analyze slow jobs, and apply tuning knobs for HDFS and YARN
Module 8: Backup, Recovery & Disaster Planning
⏳ 1 week
Topics: HDFS snapshots, metadata backup, rolling upgrades, cluster rollback
Hands-on: Create and restore HDFS snapshots; simulate upgrade and perform rollback
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Job Outlook
Hadoop administrators are in strong demand for Big Data infrastructure roles in finance, telecom, and e-commerce
Roles include Hadoop Administrator, Big Data Engineer, and Data Platform Specialist
Salaries range from $95,000 to $140,000+ depending on experience and region
Expertise in ecosystem tools (Hive, HBase, Spark) enhances career growth toward architect and SRE positions
- Extensive hands-on labs across all major Hadoop ecosystem components
- Strong focus on security, high availability, and disaster recovery best practices
- Uses industry-standard tools (Ambari, Ranger) for monitoring and governance
- Assumes familiarity with Linux system administration—absolute beginners may require prep
- Limited coverage of emerging cloud-native alternatives (e.g., AWS EMR, Azure HDInsight)
Specification: Big Data Hadoop Administration Certification Training
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