Big Data
Big Data with Hadoop & Spark
Understand big data concepts, Hadoop ecosystem, HDFS, MapReduce, and Hive.
Level: BeginnerBig Data
What You'll Learn
Big data fundamentals
Hadoop architecture
HDFS operations
MapReduce programming
Apache Hive & HiveQL
HBase basics
Sqoop & Flume
YARN & cluster management
Mini-project: log analysis
What's Included
🧭AI Tutor🔒
Interactive learning path with AI-generated lessons read aloud by your personal tutor
🧪Practice Lab🔒
Step-by-step lab instructions with AI guidance — run in your own IDE or sandbox.
🎙️Mock Interviews🔒
AI interviewer asks tailored questions, gives real-time feedback and a score report
📝Evaluation🔒
MCQ questions (theory, practical, code) to test your knowledge and earn a badge
⚔️Challenge AI🔒
Compete head-to-head against AI on real production problems — judged on correctness, performance, scalability, code quality, and edge cases
Course Syllabus
Big Data Fundamentals
- •What is Big Data (3Vs)
- •Batch vs Streaming
- •Hadoop Ecosystem Overview
- •Cluster Architecture
- •Use Cases
HDFS
- •HDFS Architecture
- •NameNode & DataNode
- •Reading & Writing Files
- •Replication & Fault Tolerance
- •HDFS CLI Commands
MapReduce
- •MapReduce Concepts
- •Writing a MapReduce Job
- •Shuffle & Sort Phase
- •Combiners & Partitioners
- •Running Jobs on YARN
Hive
- •Hive Architecture
- •HiveQL Basics
- •Internal vs External Tables
- •Partitioning & Bucketing
- •Optimisation Tips
HBase & Tools
- •HBase Data Model
- •CRUD with HBase Shell
- •Sqoop for RDBMS Import
- •Flume for Log Ingestion
- •Mini-project: Log Analysis
You're all set
Everything in this course is unlocked.
Continue Learning →✓AI Tutor
✓Practice Lab
✓Mock Interviews
✓Evaluation
✓Challenge AI