Distributed System Design for Data Engineering

This talk will provide an overview of distributed system design principles and their applications in data engineering. We will discuss the challenges and considerations that come with building and maintaining large-scale data systems and how to overcome these challenges by using distributed system design. Topics covered will include data partitioning and replication, fault tolerance, scalability, and data consistency. Real-world examples of distributed systems will be used to illustrate best practices and trade-offs in system design. By the end of this talk, attendees will have a deeper understanding of the design patterns and techniques used in building robust and scalable data systems for modern data engineering challenges.