Building Kafka on top of S3 presents several challenges, including data consistency, latency issues, and the need for efficient data retrieval. The article explores these obstacles in depth and discusses potential solutions and architectural considerations necessary for successful integration. Understanding these challenges is crucial for engineers looking to leverage Kafka with S3 effectively.

The article discusses the rise of single-node architectures as a rebellion against traditional multi-node systems in data engineering. It highlights the advantages of simplicity, cost-effectiveness, and ease of management that single-node setups provide, particularly for smaller projects and startups. The piece also explores the implications for scalability and performance in various use cases.

Data engineers play a crucial role in achieving GDPR compliance by implementing systems that manage personal data responsibly. This guide outlines key concepts such as encryption, hashing, and anonymization, as well as best practices for designing data architectures that ensure privacy and security. It also covers practical considerations for incident response and interview preparation related to GDPR.