Know if this is the right move
Compare Hadoop & Big Data against your current level, time, budget and career goal before you enrol.
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Build Hadoop & Big Data proof that improves your next career conversation
Master Big Data Processing with Hadoop Ecosystem
Review the project roadmap, mentor support, fee plan and batch fit before you commit. You should know exactly what you will build, how it helps you, and whether this is the right next step.
2.5 Months guided project path
250+ Learners Trained
4.6/5 learner feedback
Fee and batch fit explained
See the structure, mentor support and admissions steps in one clear conversation.
Choose with human context, not a generic course grid. Admissions helps you compare your goal, current level, fee comfort and batch timing before you decide.
2.5 Months to structured project proof
12 seat cohorts for feedback
4.6 learner confidence score
Know what to build before you startGet feedback before your portfolio goes publicChoose live online or optional Pune support clearly
Only 12 learners per batch so mentors can review work properly.
INR 20,000 INR 32,000 38% OFF
- Included Live Projects
- Included Career Support Included
- Included Cloud Labs Access
- Included Lifetime Support
EMI options available. Learn live online across India, with optional Pune classroom support.
Admissions support is available from your first enquiry to batch onboarding.
Free fit check before you paySyllabus, fees and batch clarity in one callPortfolio proof you can explainMentor-reviewed project workLive online across India with Pune classroom support availableSmall cohorts for better feedbackFree fit check before you paySyllabus, fees and batch clarity in one callPortfolio proof you can explainMentor-reviewed project workLive online across India with Pune classroom support availableSmall cohorts 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.
Leave with work you can show
Build guided assignments and project outputs that are easier to explain in interviews, reviews and freelance conversations.
Get unstuck while you build
Use mentor review, live sessions and batch support to correct mistakes before they become portfolio gaps.
See the full plan upfront
Understand fees, EMI, batches, syllabus depth and online or Pune classroom fit before making a decision.
3 Months guided path to visible project proof
4 + big data projects you can discuss
12 learners per cohort for better feedback
1 clear fee, batch and syllabus plan before payment
Available across India Join Hadoop & Big Data live online from anywhere in India, with optional Pune classroom support if you prefer in-person help. Ask for the syllabus, fee plan and batch advice before you decide.
Search-to-enrollment checkpoint
Before you enroll in Hadoop & Big Data, get the fit checked
Based on live Search Console and GA4 behaviour, people arriving from this topic need fee, syllabus, project and batch clarity before they become confident leads. Get the decision support first, then choose the course path.
Search visitors usually need help turning broad course research into a clear skill, budget and batch decision.
1 Course fit Match your current level, schedule and target role.
2 Fee clarity Understand fee plan, GST invoice support and batch options.
3 Project path See what proof you can build before interviews or freelance work.
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 training 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
Before you enrol
Get a decision call that removes the guesswork
- Tell us your current skill level and target role.
- Get a shortlist of what to learn, what to skip and what to build first.
- Pick the batch format that fits your schedule and start with a clear roadmap.
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 students 15
Plan your next step
Get fees, batches, project roadmap and mentor support explained before you commit.
Small cohorts for proper mentor feedback
Get full fee plan Call admissions: +91 77688 68948- Project work reviewed before you showcase it
- Interview and career support around your goal
- Flexible batch timings with EMI guidance
Mentor-led Small batches EMI support
Request a quick callback
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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 batch 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.
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