Database Beginner to Advanced

Big Data Hadoop and Spark Developer Tutorial for Beginners to Expert

15 Chapters

0 Lessons

0+ Hours

120+ Code Examples

15K+ Learners

Start Learning Practice Questions

96%

Completion Rate

4.9★

Rating

92%

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What You'll Learn

PrerequisitesNo prior programming experience needed
Basic computer knowledge
A laptop with internet access
Enthusiasm to learn!

Tools & Setup

📖 Tutorial Chapters & Curriculum

Follow the structured learning path from beginner to advanced

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🔗 Quick Links

All Chapters DSA Questions Interview Prep Projects Cheat Sheet (PDF)

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🎯 Interview Preparation

Top Python interview questions organized by difficulty

Easy 60 Questions

Freshers / Entry Level

Explain Hadoop Architecture in Hadoop & Spark with practical examples and performance considerations. (Q1)
Explain HDFS Blocks in Hadoop & Spark with practical examples and performance considerations. (Q2)
Explain NameNode vs DataNode in Hadoop & Spark with practical examples and performance considerations. (Q3)
Explain Replication Factor in Hadoop & Spark with practical examples and performance considerations. (Q4)
Explain YARN Architecture in Hadoop & Spark with practical examples and performance considerations. (Q5)

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Medium 70 Questions

Experienced / Mid-Level

Explain Catalyst Optimizer in Hadoop & Spark with practical examples and performance considerations. (Q61)
Explain Spark Shuffle in Hadoop & Spark with practical examples and performance considerations. (Q62)
Explain Spark Partitioning in Hadoop & Spark with practical examples and performance considerations. (Q63)
Explain Spark Caching & Persistence in Hadoop & Spark with practical examples and performance considerations. (Q64)
Explain Spark Broadcast Variables in Hadoop & Spark with practical examples and performance considerations. (Q65)

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Hard 50 Questions

Senior / Lead Level

Explain Hive Architecture in Hadoop & Spark with practical examples and performance considerations. (Q131)
Explain Hive Partitions vs Buckets in Hadoop & Spark with practical examples and performance considerations. (Q132)
Explain Hive Execution Engine in Hadoop & Spark with practical examples and performance considerations. (Q133)
Explain Apache Pig in Hadoop & Spark with practical examples and performance considerations. (Q134)
Explain Spark Architecture in Hadoop & Spark with practical examples and performance considerations. (Q135)

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