Navigating Facebook's Data Landscape

This chapter examines the egalitarian culture at Facebook and its impact on engineering and data management practices. It discusses the complexities of Facebook's data warehouse, including the significance of a preprocessor for SQL and the implications of privacy concerns following the Cambridge Analytica incident. The chapter highlights the evolution of database systems and the shift toward modular architectures that address diverse workloads, emphasizing the importance of optimizing data formats and ensuring data consistency.