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Talk to a mentor first — we check whether Hadoop & Big Data matches your background, time and goal, and tell you honestly if it doesn't.
Specialized
Big Data Hadoop Course — Build Data Pipelines with Spark and Hive, Live
Learn the Hadoop and Spark ecosystem through practical data workflows that build confidence for analytics and data engineering teams.
See the full syllabus, fees and what you'll build before you pay a rupee. Live online classes with a personal mentor, small batches, and projects that go straight onto your portfolio.
2.5 Months guided project path
4.8/5 learner feedback
Roadmap and outcome fit explained
Classes in English, Hindi & Marathi
See the structure, mentor support and next steps in one clear conversation.
Choose with human context, not a generic catalogue grid. A learning advisor helps you compare your goal, current level, time comfort and project expectations before you decide.
2.5 Months to structured project proof
25 learner groups for feedback
4.8 learner confidence score
Know what to build before you startGet feedback before your portfolio goes publicChoose the learning mode that fits your week
Next cohort starts 27 June 2026 · only 25 seats
Small groups of 25 learners so mentors can review work properly.
INR 20,000 INR 32,000 38% OFF
- Included Applied Projects
- Included Career Context Included
- Included Cloud Labs Access
- Included Continued Learning Support
Free demo class before you pay · EMI options · 7-day money-back guarantee
Roadmap support is available from your first enquiry to live start.
Free roadmap check before you paySyllabus, pricing and live-start clarity in one callPortfolio proof you can explainMentor-reviewed project workLive online across India with optional Pune supportSmall groups for better feedbackFree roadmap check before you paySyllabus, pricing and live-start clarity in one callPortfolio proof you can explainMentor-reviewed project workLive online across India with optional Pune supportSmall groups for better feedback
Outcome-first learning path
Move from interest to useful Hadoop & Big Data proof
SourceKode helps you decide whether this route is worth your time, then gives you a practical path to build, practise and show work with mentor feedback. The goal is not to collect another certificate. The goal is to become easier to trust, interview and hire.
Build things you can show
Every module ends in a real project for your portfolio — the thing interviewers, clients and recruiters actually ask to see.
Never get stuck alone
Small live batches mean your doubts get answered in class, and your project work gets personal feedback before it goes public.
Fees, dates and syllabus upfront
Exact fees with EMI options, the next batch date and the full syllabus — all before you commit a single rupee.
3 Months guided path to visible project proof
4 + big data projects you can discuss
25 learners per group for better feedback
1 clear pricing, roadmap and syllabus plan before payment
Available across India Join Hadoop & Big Data live online from anywhere in India, with optional Pune support if you prefer in-person help. Ask for the syllabus, pricing plan and live-start advice before you decide.
What does the Hadoop & Big Data course cover?
The Hadoop & Big Data path is a 3 Months, mentor-led program covering Hadoop & Big Data, Applied Projects, Career Context Included, Cloud Labs Access — built around 4+ big data projects you can show in interviews.
Who is the Hadoop & Big Data course for?
It suits intermediate learners — students, working professionals and career switchers who want practical proof, not just a certificate. We check fit on a free roadmap call before you pay.
What are the fees and next batch for Hadoop & Big Data?
Fees are INR 20,000 (from INR 32,000) with EMI options and a GST invoice. Live online in small batches of 25 — ask for the next start date and the full syllabus.
Course Overview
Master Big Data processing with the Hadoop ecosystem and handle massive datasets at scale. Learn HDFS, MapReduce, Hive, Pig, and Spark to process petabytes of data for enterprises and tech giants.
Hadoop learning path at SourceKode covers the complete Big Data stack from data storage to processing and analysis. Learn technologies used by Facebook, Yahoo, LinkedIn, and thousands of enterprises for big data analytics.
Why Learn Hadoop?
- Big Data Era: World generates 2.5 quintillion bytes daily
- High Demand: Big Data engineers earn ₹7-22 LPA
- Enterprise Need: All large companies need big data processing
- Future-Proof: Data volumes growing exponentially
- Scalability: Process terabytes to petabytes of data
- Open Source: Apache Hadoop - free and widely adopted
What You’ll Learn
- HDFS: Distributed file system for big data storage
- MapReduce: Distributed data processing framework
- Hive: SQL queries on big data
- Pig: Data flow scripting language
- Spark: In-memory fast data processing
- HBase: NoSQL database on Hadoop
- Sqoop: Data transfer between Hadoop and RDBMS
Course Syllabus
Module 1: Big Data Fundamentals
- What is Big Data (3Vs: Volume, Velocity, Variety)
- Traditional vs Big Data approaches
- Hadoop ecosystem overview
- Linux basics for Hadoop
Module 2: HDFS
- HDFS architecture
- NameNode and DataNode
- Block storage and replication
- HDFS commands
- File operations
Module 3: MapReduce
- MapReduce programming model
- Mappers and Reducers
- Combiner and Partitioner
- Java MapReduce programs
- WordCount and other examples
Module 4: Hive
- Hive architecture
- HiveQL syntax
- Creating tables and partitions
- Joins and aggregations
- User-defined functions (UDF)
Module 5: Pig
- Pig Latin scripting
- Data flow operations
- Pig vs Hive
- ETL with Pig
Module 6: Apache Spark
- Spark architecture
- RDDs (Resilient Distributed Datasets)
- Transformations and actions
- Spark SQL
- DataFrame API
- Spark vs MapReduce
Module 7: HBase & NoSQL
- HBase architecture
- CRUD operations
- Column-family design
Module 8: Data Ingestion
- Sqoop for data import/export
- Flume for log data
- Kafka basics
Projects
- Log Analysis with Hadoop
- E-commerce Data Analysis with Hive
- Real-time Processing with Spark
- Data Pipeline with full ecosystem
Career Opportunities
- Big Data Engineer - Average: ₹7-18 LPA
- Hadoop Developer - Average: ₹6-15 LPA
- Data Engineer - Average: ₹8-20 LPA
- Spark Developer - Average: ₹9-22 LPA
Companies
- Tech Giants: Facebook, Yahoo, LinkedIn, Twitter
- E-commerce: Amazon, Flipkart, eBay
- Finance: Banks, financial services
- Telecom: Airtel, Jio, Vodafone
- Analytics: All analytics companies
Big Data Engineer Salary in India (2026)
| Experience | Typical Role | Salary Range (₹ / year) |
|---|---|---|
| Fresher (0–1 yr, with projects) | Junior Data Engineer | ₹4,00,000 – ₹8,00,000 |
| 2–4 years | Big Data / Spark Engineer | ₹10,00,000 – ₹22,00,000 |
| 5–8 years | Senior Data Engineer | ₹25,00,000 – ₹45,00,000 |
| 8+ years | Data Architect | ₹45,00,000 – ₹70,00,000+ |
Indicative ranges for India in 2026. Data engineering is among the best-paid tech tracks because every analytics and AI initiative depends on reliable data pipelines. Hadoop/Spark + cloud is the most employable combination.
Is Big Data / Hadoop Worth Learning in 2026?
Yes — data engineering underpins analytics and AI:
- AI needs data pipelines: every ML/AI project depends on engineered data.
- High pay: data engineering sits near the top of the salary table.
- Enterprise demand: banking, telecom and analytics firms hire steadily.
- Strong pairing: combine with Data Science, Python and AWS Cloud.
Who Should Take This Big Data & Hadoop Course
This course suits developers and analysts who want to move into well-paid data engineering, Java or Python developers adding big-data skills, database and ETL professionals scaling up to distributed systems, and computer-science students targeting data roles. It also fits working professionals in analytics who want to engineer the pipelines behind dashboards and machine-learning models. Comfort with basic programming and SQL helps, but HDFS, MapReduce, Hive and Spark are each introduced from fundamentals before you apply them.
How You’ll Learn at SourceKode
Learning is mentor-led and hands-on. Live online sessions run every Saturday from 1:00–3:00 PM IST in small groups of up to 25 learners, so you get real attention while working through a distributed system that can feel intimidating alone. You build as you go — HDFS file operations, MapReduce jobs, Hive queries and a Spark processing pipeline — ending with a full data-pipeline project for your portfolio. You’ll work with the tools teams actually use and keep access to mentor guidance and updated material after the cohort. Career context runs throughout: how data engineering fits the analytics and AI stack, what interviewers probe, and how to present your pipeline projects.
Meet your mentors
Real people teach this course — and review your work
Teaches data pipelines, cloud deployment and system design.
Maps your portfolio to analyst, scientist and engineer roles.
Will this fit you?
- Language English, Hindi, Marathi
- Duration 3 Months
- Lectures 60+ Hours
- Projects 4+ Big Data Projects
- Skill level Intermediate
- Certification Yes
- Max learners 25
Plan your next step
Get pricing, start dates, project roadmap and mentor support explained before you commit.
Small groups for proper mentor feedback
Get pricing and roadmap Call SourceKode: +91 77688 68948- Project work reviewed before you showcase it
- Career, creator or business use case mapped to your goal
- Flexible start timing with pricing clarity
Mentor-led Small groups EMI support
Get fees & the next batch date
Share four quick details and we will call you with fees, the next Saturday batch date and a roadmap. No spam.
Prefer WhatsApp? Message us on WhatsApp
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Common Questions
Frequently Asked Questions
Is Hadoop still relevant with cloud computing?
Yes! Many enterprises run Hadoop on cloud (AWS EMR, Azure HDInsight, Google Dataproc). Hadoop skills are valuable for big data processing whether on-premise or cloud. Spark (part of Hadoop ecosystem) is growing stronger.
Do I need Java knowledge for Hadoop?
Basic Java helps for MapReduce programming, but not essential for all roles. Hive uses SQL-like queries, Pig uses scripting. We teach necessary Java basics. Many big data roles focus on Hive/Spark SQL without deep Java.
Hadoop vs Spark - which should I learn?
Learn both! Hadoop (HDFS + MapReduce) for storage and live start processing. Spark for faster in-memory processing. Our course covers the complete ecosystem including both. Spark skills are increasingly valuable.
Are Big Data jobs declining?
Traditional Hadoop Admin jobs are declining, but Big Data Engineering and Spark development are growing. Companies move to cloud but still need big data processing skills. Focus on Spark, cloud integration, and data engineering.
What companies use Hadoop in India?
Telecom (Airtel, Jio), E-commerce (Flipkart, Amazon), Banking (HDFC, ICICI), Analytics firms (Mu Sigma, Fractal), and IT services. Big data skills open doors to data engineering roles across industries.
Big Data Engineer vs Data Scientist - which is better?
Different roles! Big Data Engineers build data pipelines and infrastructure (₹7-20 LPA). Data Scientists do analysis and ML (₹8-30 LPA). Both are in demand. Engineers need less math, Scientists need more statistics/ML.
Is Big Data and Hadoop still worth learning in 2026?
Yes. The ecosystem has shifted toward Spark and cloud data platforms, but the core skills — distributed storage, processing and building data pipelines — are in steady demand across banking, telecom and large analytics teams. Most roles now blend Hadoop/Spark with cloud (AWS/Azure), which this course prepares you for.
What is the Big Data Engineer salary in India in 2026?
Freshers typically start at ₹4–8 LPA, engineers with 2–4 years of experience earn ₹10–22 LPA, and senior big-data or data engineers reach ₹25–45 LPA. Pairing Hadoop/Spark with cloud and Python lifts pay the fastest.
Learning path check
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Small groups for feedback Live online across India; optional Pune support EMI and roadmap support
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