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Distributed System Design for Data Engineering

Data Science Dojo via YouTube

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Overview

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This talk introduces distributed system design for data engineering, covering partitioning, replication, fault tolerance, scalability, consistency, and quorums. Real-world examples illustrate design patterns and trade-offs for building robust, scalable data systems.

Syllabus

– Introduction
– What is a Distributed System
– Key concepts in distributed systems
– Fault Tolerance
– Replication
– Synchronous VS Asynchronous Replication
– Replication Models
– Quorums

Taught by

Data Science Dojo

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