Hadoop Administration and Development Corporate Training
Learn to administer, develop on, and operate production Hadoop clusters in live guided labs.
Edstellar, a corporate training company, delivers corporate training that helps data engineering teams master Hadoop: administering HDFS storage, managing YARN resources, and developing MapReduce, Hive, and Spark pipelines. Your team will learn cluster operations and big data development through instructor-led, hands-on labs built around real-world use cases.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a production-ready Hadoop operations team
THE EDSTELLAR DATA ENGINEERING CAPABILITY MODEL
Assess cluster readiness
Skill checks map your team's Hadoop baseline, from Linux comfort to distributed storage experience.
Standardize administration
One shared playbook for cluster setup, HDFS policies, YARN queues, and job deployment.
Practice in guided labs
Labs cover HDFS administration, YARN tuning, MapReduce jobs, and pipeline development on Hadoop.
Measure the lift
Lab reviews benchmark each employee's Hadoop operations skill after training.
Scale across teams
One Hadoop operations standard rolls out across clusters, pipelines, and teams.
Need more than one program?Get a group quote
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Program Overview: What is Hadoop Administration and Development?
Hadoop Administration & Development is a 24-hour program for data engineers and cluster administrators running big data platforms. It covers the Hadoop ecosystem and cluster setup, HDFS administration and storage, YARN resource management, MapReduce development and tuning, plus Hive, Spark, and data pipelines. The program treats Hadoop as production infrastructure, not a sandbox experiment.
Training is instructor-led with labs on live clusters. Participants provision and configure a cluster, administer HDFS storage, tune YARN queues, write and optimize MapReduce jobs, and build working data pipelines. Instructors with production Hadoop experience review every configuration and give direct feedback across the sessions. The program closes with a capstone where teams run full Hadoop cluster operations.
Clusters fail in predictable ways: misconfigured storage, starved resources, and jobs that nobody tuned before they hit production data volumes. This program teaches teams to administer Hadoop with operational discipline, so the platform stays reliable as data grows instead of becoming the bottleneck everyone works around.
The capstone is Hadoop Cluster Ops: teams take responsibility for a live cluster, handling setup, storage administration, job tuning, and pipeline delivery under realistic operating conditions. Assessors score stability, performance, and operational judgement. Participants leave having actually run a cluster, not just read about one.
Across six modules and 24 hours, employees move from Hadoop fundamentals to a production-style capstone: provisioning a multi-node cluster, tuning HDFS storage policies, scheduling YARN queues, developing batch jobs, and securing the platform with Kerberos and Ranger. Every module pairs live instruction with guided labs, so the team practices the exact workflows it will own, from first install to on-call confidence.
What's Included in this Workshop for Your Enterprise Teams
- 1
Cluster setup
Install and verify a multi-node test cluster you will use daily.
- 2
HDFS administration
Storage policies, replication, and data lifecycle drills.
- 3
YARN operations
Queue design, scheduling, and resource monitoring labs.
- 4
Pipeline development
MapReduce, Hive, and Spark jobs on live data.
- 5
Capstone operations
A secured, tuned cluster presented for review.
- Instructor-led sessions, onsite or live virtual
- Guided Hadoop labs on your data stack
- Reusable cluster configuration templates
- Lab guides and session recordings on your LMS
- Capstone review against production criteria
- Post-training support from your instructor
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
Hadoop Administration and Development Course Topics and Program Outline
A tailored 24-hour, six-module workshop: one learning journey from Hadoop cluster setup to a production-style capstone operations build.
Built by Edstellar with data engineers
Built by practitioners who run Hadoop clusters in production, shaped around your stack and use cases.
Skill checks map your team's Hadoop baseline, from Linux comfort to distributed storage experience, before training begins.
Instructor-led sessions build HDFS, YARN, and MapReduce foundations with live demos on a real multi-node cluster.
Guided labs have your team administer storage, schedule YARN queues, and develop jobs on the practice cluster.
The capstone hardens and tunes a live cluster, so your team returns ready to operate Hadoop in production.
From first cluster install to a secured, tuned production cluster in 24 instructor-led hours.
Delivered as
Delivered as a hybrid program of live instruction and guided labs, scheduled around your team's working hours.
Install a multi-node Hadoop test cluster, verify daemons, and run the built-in wordcount job to confirm the setup.
learna)Hadoop ecosystem overview
b)HDFS, YARN, and MapReduce roles
c)Cluster architecture and node roles
d)Installing a multi-node test cluster
Load datasets into HDFS, configure replication and storage policies, then recover a failed DataNode scenario.
learna)HDFS architecture and NameNode
b)Replication and block placement
c)Storage tiers and archival
d)Quotas, snapshots, and trash
Configure YARN queues, submit competing jobs, and tune scheduler settings to meet service-level targets.
practicea)YARN architecture and schedulers
b)Capacity and fair schedulers
c)Queue design and resource pools
d)Monitoring with ResourceManager UI
Write, package, and run a MapReduce job, then tune it with combiners and custom partitioners for speed.
practicea)MapReduce programming model
b)Writing mappers and reducers
c)Combiners, partitioners, and counters
d)Job tuning and troubleshooting
Build an end-to-end pipeline that ingests files, processes them with Spark on YARN, and serves Hive queries.
applya)HiveQL for batch analytics
b)Spark jobs on YARN
c)Sqoop and Flume ingestion
d)Oozie workflow scheduling
e)End-to-end pipeline build
Harden, monitor, and tune a live cluster, then present the capstone cluster operations plan for review.
applya)Kerberos authentication setup
b)Ranger authorization policies
c)Cluster monitoring and alerting
d)Performance tuning playbook
e)Capstone cluster review
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Seven job-ready outcomes your team will demonstrate by the end of the program.
Administer HDFS storage
Configure replication, storage tiers, quotas, and snapshots for reliable data at scale.
Manage YARN resources
Design scheduler queues and allocate cluster capacity to competing workloads.
Develop MapReduce jobs
Write, package, and tune batch jobs with combiners, partitioners, and counters.
Build Hive and Spark pipelines
Query and process cluster data with HiveQL and Spark running on YARN.
Ingest data into the cluster
Move data in with Sqoop and Flume and schedule workflows with Oozie.
Secure the Hadoop platform
Apply Kerberos authentication and Ranger authorization policies to cluster services.
Troubleshoot cluster issues
Diagnose failed jobs, slow tasks, and unhealthy nodes using cluster monitoring tools.
Teams that Benefit from this Hadoop Administration and Development Group Training
This group training is built for data engineering and platform teams that operate or build on Hadoop clusters. Content adapts to each role and experience level, so every cohort practices the workflows it owns.
Run clusters that keep pipelines moving
For engineers who own the cluster behind the pipelines. They practice HDFS administration, YARN queue design, and job tuning on the lab cluster.
Workflow friction
- Inconsistent configs across dev and prod clusters
- Storage growth outpacing capacity planning
- Job failures with unclear root causes
How the program helps
- Standardize cluster setup across environments
- Tune storage and compute for cost and speed
- Debug slow jobs with confidence
Practice use cases
- Cluster provisioning
- HDFS administration
- YARN tuning
- Job debugging
Keep the platform healthy and available
For platform teams responsible for cluster uptime. They practice monitoring, Kerberos security, and capacity planning workflows.
Workflow friction
- Unsecured services and default credentials
- Blind spots in cluster monitoring
- Surprise capacity shortages
How the program helps
- Harden clusters with Kerberos and Ranger
- Monitor node health and job queues
- Plan capacity before crunch hits
Practice use cases
- Security hardening
- Monitoring setup
- Capacity planning
Turn raw cluster data into trusted datasets
For engineers building Hive and Spark pipelines on Hadoop. They practice query tuning and reliable ingestion patterns.
Workflow friction
- Slow queries on unpartitioned tables
- Fragile hand-rolled ingestion scripts
- Pipeline reruns that duplicate data
How the program helps
- Write faster HiveQL on partitioned data
- Run Spark jobs reliably on YARN
- Schedule dependable batch workflows
Practice use cases
- HiveQL tuning
- Spark on YARN
- Batch scheduling
Design storage and processing that scale
For architects standardizing the big data platform. They evaluate storage tiers, processing engines, and data lifecycle policies.
Workflow friction
- Hot data on expensive storage
- No clear retention or archival policy
- Tool sprawl across processing engines
How the program helps
- Choose the right storage tier per dataset
- Design replication and retention policies
- Align processing engines to workloads
Practice use cases
- Storage design
- Retention policy
- Engine selection
Cohorts train as a cross-functional workforce, with each small group aligned on the clusters it operates.
Prerequisites: Built for data engineers, platform engineers, and system administrators with basic Linux and SQL comfort. Hadoop experience helps but is not required: foundations are taught from the first module, and labs adapt to each cohort's stack and data.
Data engineer to Hadoop cluster operator
Skill rows track each capability from first exposure through the capstone, where your team hardens and tunes a live cluster.
A program that grows with data engineering careers, from first cluster install to confident Hadoop operations.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Choose the format that fits your team: hybrid, onsite, or live virtual. Every format includes the same instructor-led sessions and guided labs.
Hybrid Training
Instructor-led sessions mix onsite and virtual delivery, with guided labs running against your Hadoop cluster throughout.
- Same instructor across onsite and virtual sessions
- Guided labs in every module, wherever learners join
- Recordings and lab guides shared on your LMS
- Scheduling flexes around your team's working hours
Onsite Training
Instructor-led training at your offices, with labs set up on your Hadoop cluster and data.
- Whiteboard sessions with your actual cluster diagrams
- Labs on your tools, data, and Hadoop distribution
- Direct coaching from a practicing data engineer
- Team builds together in one room, one standard
Live Virtual Training
Live virtual sessions on Zoom or Teams with screen-shared pairing and breakout labs.
- Live instructor-led training on Zoom or Teams
- Breakout rooms for paired lab work
- Screen-shared debugging with your instructor
- Same labs and capstone as the onsite program
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size, timelines, and delivery preference, and we will send a detailed quote for this instructor-led program.
Yes. Book a discovery call and we will map your clusters, Hadoop usage, and goals to the curriculum.
Yes. Live virtual sessions run on Zoom or Teams with the same guided labs and instructor support.
Yes. The instructor runs the full program at your offices, with labs set up on your tools and data.
The program runs 24 hours of instructor-led training, usually across three to six days.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
Hadoop runs on Linux, so Linux administration comes first. Once your team can run and develop on Hadoop, Hive gives analysts SQL access and Hadoop Security protects the cluster as it grows.
Why Choose Edstellar as Your Hadoop Administration and Development Corporate Training Provider
Edstellar pairs instructor-led delivery with hands-on Hadoop labs so your data engineering team practices the clusters it owns.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Every cohort's labs and examples are tailored to your Hadoop distribution, cluster layout, and data pipelines.
Proven Methodology
A learn, practice, apply arc moves your team from cluster fundamentals to production operations in 24 hours.
Practice-Based Learning
Guided labs in every module: your team administers HDFS, tunes YARN, and builds jobs on a live cluster.
Expert Trainers
Instructors are practitioners who run Hadoop clusters in production and coach from real operational experience.
Global Scale
One Hadoop standard rolls out across regions and teams, with consistent labs and assessments everywhere.
Measurable Outcomes
Lab checkpoints and a capstone cluster review benchmark each employee's Hadoop skill before and after training.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Hadoop Administration & Development Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Hadoop Administration and Development Training for Your Team
Share your team size, Hadoop distribution, cluster goals, and timelines to receive a tailored proposal for this Hadoop program.