Hadoop Administration Training — brochure
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Assure Success
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Assure SuccessCourse brochure 2026Deploy, secure, monitor and tune Hadoop clusters with 24 hours of hands-on live online training
Course fee
₹31,999₹49,499
Enroll online at assuresuccess.in or call +91 93517 82674
Scan to view the course and enroll · Fees as on 28 Oct 2026
About the course
Running a Hadoop cluster in production is a different job from writing jobs for it. An administrator has to size hardware, keep the NameNode healthy, make sure jobs get fair shares of resources, secure access to sensitive data, and recover when nodes fail. This course covers those responsibilities with labs on a multi-node cluster.
You will install the core services, configure HDFS and YARN, set up high availability for the NameNode and ResourceManager, and use the capacity scheduler to share a cluster across teams. Security sections cover Kerberos authentication, HDFS permissions and ACLs, encryption zones and the principles of centralised authorisation. You will also practise monitoring through metrics and logs, diagnosing slow jobs, balancing data, decommissioning nodes, snapshots, DistCp-based backups and rolling upgrades.
No external exam is part of this course. The skills carry over to cloud-managed big data services, which hide some of these tasks but still require the same understanding.
Operations depth
Understand failure modes and recovery, not just installation steps.
Security knowledge
Kerberos and authorisation skills are required in regulated industries.
Transferable platform skills
Cluster sizing, monitoring and capacity thinking apply to Spark, Kafka and cloud data platforms.
Hands-on failure drills
Labs include breaking and recovering nodes and services.
Curriculum
Cluster Planning
Design a cluster that fits a workload.
Installation and Configuration
Install a working cluster.
HDFS Administration
Keep storage healthy.
High Availability
Remove single points of failure.
YARN Administration
Manage resources and queues.
Security
Protect data and services.
Monitoring and Tuning
Observe and optimise.
Backup, Upgrade and DR
Protect against loss and plan upgrades.
Your certificate
Enrol in the 24-hour live online batch
Provision the lab cluster using the setup guide
Complete the installation, HA and security labs
Participate in the final failure and recovery drill
Receive an Assure Success course completion certificate
Cluster planning
Size nodes, disks, memory and network for a given workload and plan rack layout.
Installation and configuration
Install Hadoop 3.x services and tune core configuration files.
High availability
Configure NameNode and ResourceManager HA with failover and understand fencing.
Resource scheduling
Set up queues in the capacity scheduler so teams share the cluster fairly.
Security
Enable Kerberos, manage HDFS permissions and ACLs and configure transparent encryption.
Monitoring and troubleshooting
Read metrics, logs and job histories to find the cause of slow or failed jobs.
Maintenance operations
Add and decommission nodes, run the balancer and fix under-replicated blocks.
Backup and upgrades
Use snapshots and DistCp for backup and run rolling upgrades with minimal downtime.
Your future
Careers after this course
Hadoop Administrator₹6–16 LPA (approx.)
Operates production Hadoop clusters and handles incidents and upgrades.
Big Data Platform Engineer₹8–20 LPA (approx.)
Builds and automates data platform infrastructure on-premise or in cloud.
DevOps / SRE (Data Platforms)₹10–24 LPA (approx.)
Maintains reliability and monitoring for data services.
Expert trainers
Certified instructors with real project experience.
Exam practice
Practice questions and mock tests.
Flexible batches
Weekday and weekend batches.
Exam support
Help with eligibility, vouchers and booking.
Ready to get certified?
Course fee ₹31,999. Enroll at assuresuccess.in/course/hadoop-administration-training
📞 +91 93517 82674✉️ info@assuresuccess.in💬 WhatsApp +91 93517 82674
Assure Success. Exam details are set by the certifying body and may change — check the official website before booking. All trademarks belong to their owners.