Apache HadoopHadoop Certification Training
Understand and use the Hadoop ecosystem for distributed storage and processing in 30 hours of live online training
- Duration
- 30 hours
- Format
- Live online
- Modules
- 8 modules
- Certificate
- On completion
- ✓30 hours of live online instructor-led training in scheduled batches
- ✓HDFS, YARN and MapReduce explained with working multi-node cluster labs
- ✓Hive for SQL on big data, plus an introduction to HBase and Spark on YARN
- ✓Data ingestion and workflow concepts with Kafka and Airflow-style orchestration
- ✓How Hadoop concepts map to cloud services such as Amazon EMR and Google Dataproc
- ✓End-to-end capstone: ingest, process and query a large dataset
About the course
What this course covers
Apache Hadoop introduced the idea of storing huge datasets across commodity machines and moving computation to the data. Even though many new projects now use cloud object storage and lakehouse platforms, the core ideas of HDFS, YARN, partitioned data and distributed execution sit under almost every modern data platform, and many Indian enterprises still run Hadoop clusters in production.
This course teaches Hadoop as it is used today. You will learn how HDFS stores and replicates blocks, how YARN schedules containers, how a MapReduce job executes, and how Hive turns SQL into distributed jobs over partitioned and bucketed tables in formats such as Parquet and ORC. You will also see where HBase fits for low-latency access, how Spark runs on YARN, and how data gets in through ingestion tools.
There is no single vendor exam attached to this course; the major vendor Hadoop certification programmes have been retired or reorganised over the years, so we focus on skills you can demonstrate. A final section compares Hadoop with cloud-native alternatives so you know when each is appropriate.
Who should attend
- ● Software developers and database professionals moving into data engineering
- ● Data warehouse and ETL engineers who work with growing data volumes
- ● System administrators who want to understand big data platforms
- ● Analysts who need to query very large datasets using Hive and SQL
- ● Graduates targeting big data and data engineering roles
Prerequisites
Key skills
Skills you will walk away with
HDFS architecture
Explain NameNode, DataNodes, block replication, rack awareness and erasure coding, and work with HDFS from the command line.
YARN resource management
Describe how ResourceManager, NodeManagers and containers schedule distributed applications.
MapReduce programming
Write and run MapReduce jobs and understand the map, shuffle, sort and reduce phases.
Hive data warehousing
Create partitioned and bucketed tables, use Parquet and ORC and optimise HiveQL queries.
HBase fundamentals
Model row keys and column families for low-latency reads and writes on top of HDFS.
Spark on Hadoop
Submit Spark applications to YARN and know when to prefer Spark over MapReduce.
Curriculum
Module-by-module syllabus
8 modules · 32 topics · 30 hours
1Module 1: Big Data and Hadoop Fundamentals4 topics ▾
Learning objective: Understand the problem Hadoop solves and the ecosystem layout.
- ▸ The 5 Vs of big data and use cases
- ▸ Hadoop 3.x architecture overview
- ▸ Ecosystem map: storage, processing, ingestion, orchestration
- ▸ Lab environment walkthrough
2Module 2: HDFS4 topics ▾
Learning objective: Store and manage data on HDFS.
- ▸ NameNode, DataNodes, blocks and replication
- Rack awareness and erasure coding
Schedules
Upcoming live batches
Enroll now and choose your batch dates
Send an enquiry and we'll reserve your seat in the next batch.
Certification
How you get certified
- 1Enrol in the 30-hour live online batch
- 2Set up the lab environment using the provided guide
- 3Complete HDFS, Hive and Spark lab assignments module by module
- 4Deliver the capstone data pipeline
- 5Receive an Assure Success course completion certificate
Career outcomes
Roles this opens up
Big Data Engineer
₹6–18 LPA (approx.)Builds and maintains batch pipelines on Hadoop and Spark platforms.
Hadoop Developer
₹5–14 LPA (approx.)Develops Hive, MapReduce and Spark jobs on enterprise clusters.
Data Warehouse / ETL Developer
₹5–14 LPA (approx.)Moves warehouse workloads onto distributed storage and query engines.
Data Engineer (Associate)
₹5–12 LPA (approx.)Supports data lake pipelines across on-premise and cloud environments.
Salary ranges are approximate figures for India and vary by city, company and experience.
Why this certification is worth it
Core big data concepts
Distributed storage, partitioning and shuffle concepts are reused in Spark, Presto and cloud warehouses.
Why Assure Success
Learn it once, pass it once
Trainers from the field
Every session is led by a practitioner who uses this material at work.
Batches that fit your week
Weekday and weekend batches in IST, scheduled for working professionals.
Exam-style practice
Practice questions and, where available, a full simulator free with the course.
Exam voucher help
Discounted vouchers and step-by-step help booking your exam.
Human support
WhatsApp support Mon–Sat, 9 AM–8 PM IST — a person answers.
Pay your way
UPI, cards, netbanking and EMI in India; international cards accepted.
FAQs
Questions learners ask us
Q.Is Hadoop still relevant in 2026?
Greenfield projects usually choose cloud storage with Spark or a cloud warehouse, but Hadoop clusters are still running in many Indian banks, telecoms and large enterprises, and Hadoop concepts underpin modern data platforms. We teach both the platform and how it maps to cloud services.
Q.Is there a Hadoop certification exam?
There is no current exam tied to this course. The older vendor certification programmes have been reorganised or retired, so we do not promise an exam. Practical skills and a project are what employers check.
Q.Do I need Java?
No. Hive, Spark and the command-line tools cover most work. We show MapReduce in Java for understanding, but you can follow with basic programming knowledge.
Q.Will I learn Spark in this course?
You get an introduction to running Spark on YARN. For a deeper treatment, see our PySpark or Apache Spark and Scala courses.
Q.Do I need a powerful laptop?
A laptop with 8 GB RAM and a stable internet connection is enough because labs run on cloud-hosted machines.
Q.How is this different from Hadoop Administration?
This course is for developers and analysts who use the cluster. The administration course covers installing, securing, tuning and monitoring the cluster itself.
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₹37,499
Hadoop Certification Training