Big Data Technologies

Overview

• Total Days (if a complete newbie): 2 very chill days (0 days before exam)
• Goal: Score above 65/80 in the finals

As these topics are conceptual and concise, you can finish all YouTube videos by Day 2. On Day 3, revisit the book alongside the videos to know what to write in the exam.

• Revision window: Wake up at 5:00 AM and study until 11:30 AM, repeat 3 times
• Tip: Play YouTube videos at 1.25×–1.5× speed, then review notes.

This is the easiest subject ever. It has ~7–8 main questions and 5 small questions—very straightforward to understand and remember.
After watching the videos, review Photo 1, Photo 2, and Photo 3, then open the book to flesh out details for each topic.

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Important Links

• Big Data Important Topics (Important)
• All old questions chapter-wise: Photo 1, Photo 2, Photo 3 (Extremely Important)
• Big Data Technologies Book (Extremely Recommended)
• Old Question Collection
• Big Data Course (conceptual)

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YouTube Videos (Extremely Recommended)

• Chapter 1 – Introduction to Big Data [Very Easy D.] [12 marks]
• Chapters 2 & 3 – Google File System and Map Framework [Very Easy D] [13 marks + 18 marks]
• Chapters 4, 5 & 6 – Searching & Indexing Big Data + Case Study Hadoop [Very Easy D.] [ 11 marks + 13 marks + 13 marks]

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Slides (The Most Interested Friend I’ve Ever Seen)

• Chapter 1 – Introduction to Big Data
• Chapter 2 – Google File System
• Chapter 3 – Map Framework
• Chapter 4 – NoSQL
• Chapter 5 & Elastic search
• Chapter 6 – Case Study Hadoop

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Hourly Breakdown

8th Sem