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 include:

– Data partitioning and replication

– Fault tolerance

– Scalability and data consistency

Real-world examples of distributed systems are 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.