Efficient CSV File Reading and Handling in Distributed Systems

The chapter explores the challenges of efficiently reading and parsing CSV files in distributed systems, addressing issues like data type interpretation, handling commas and new lines, and ensuring data integrity. It discusses Moden's approach to coordinate workers and manage offsets to parallelize parsing. The chapter also touches on topics like GraphQL API, data interoperability, GPU services, and the importance of serialization and deserialization using Apache Arrow.