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1
– Introduction
2
– What is a Distributed System
3
– Key concepts in distributed systems
4
– Fault Tolerance
5
– Replication
6
– Synchronous VS Asynchronous Replication
7
– Replication Models
8
– Quorums
Description:
Explore the principles and applications of distributed system design in data engineering through this informative 34-minute talk. Gain insights into key concepts such as data partitioning, replication, fault tolerance, scalability, and data consistency. Examine real-world examples to understand best practices and trade-offs in building robust, large-scale data systems. Learn about different replication models, synchronous vs. asynchronous replication, and the concept of quorums. Delivered by Touseef Liaqat, a seasoned software engineer and entrepreneur, this talk provides a comprehensive overview of distributed systems and their crucial role in modern data engineering challenges.

Distributed System Design for Data Engineering

Data Science Dojo
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