Data Format Engineering: From CSV and JSON to Protobuf and Parquet

Data Format Engineering: From CSV and JSON to Protobuf and Parquet

Building Cross-Platform, Verifiable, and Evolvable Data Contracts

Data that parses is not necessarily data that is correct. explains how leading zeros, nulls, time zones, monetary precision, API contracts, event versions, privacy controls, and analytical storage change the way systems interpret data. The book covers CSV, JSON, YAML, XML, Avro, Protobuf, Parquet, and ORC, backed by an executable HappyShop example that builds a cross-platform, verifiable, and evolvable data contract.