Big Data Analytics | NoSQL, Hadoop, Analytics 1.0–3.0
In this video, we explain – Big Data Analytics (BDA) in a simple and exam-oriented way.
📌 Topics Covered:
• Introduction to Big Data Analytics
• Schools of Thought in Analytics
– Basic, Operationalized, Advanced & Monetized Analytics
• Analytics 1.0, 2.0 and 3.0
• Traditional BI vs Big Data
• Big Data Terminologies:
– In-Memory Analytics
– In-Database Processing
– SMP & MPP Systems
– Parallel vs Distributed Systems
– Shared Nothing Architecture
• Big Data Technology Landscape
• NoSQL Databases
– Types: Key-Value, Document, Column, Graph
– Advantages & Limitations
– NoSQL vs RDBMS
• NewSQL Overview
• Hadoop
– Features & Advantages
– Hadoop 1.0 vs Hadoop 2.0 (YARN)
• Data Science as a Multidisciplinary Field
• Role & Skills of a Data Scientist
🎓 This video is useful for:
• BE / BTech CSE & IT students
• Big Data Analytics (BDA) subject
• Exam preparation & quick revision
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