Monolithic vs Distributed Systems in Big Data | Horizontal vs Vertical Scaling Explained | Playlist

In this lecture, we dive into the critical differences between monolithic systems and distributed systems in the context of Big Data. You'll learn why distributed systems are essential for handling the growing scale of data in modern applications and how they compare to traditional monolithic architectures.

We’ll also explore the concepts of horizontal scaling vs. vertical scaling, two key strategies for scaling big data systems. Understanding these scaling methods is crucial for building efficient, high-performance data infrastructure.

Monolithic vs Distributed Systems in Big Data
Horizontal vs Vertical Scaling Explained
Monolithic System
Distributed System
Big Data Systems
Monolithic vs Distributed Architecture
Horizontal Scaling
Vertical Scaling
Distributed Computing
Scalable Architecture
Data Infrastructure
Big Data Architecture
Fault Tolerance in Big Data
Performance Optimization
Data Engineer Concepts
High Availability Systems
Cluster Computing
Single-node System
Scaling in Big Data
Horizontal vs Vertical Scaling
Data Engineering Basics
Monolithic System Limitations
Scalability in Big Data

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