Designing Data-Intensive Applications
Designing Data-Intensive Applications introduces diverse landscape of technologies of storing and processing data. It covers from fundamental concepts, distributed data and data processing. This book does not tell you what software or how to build a data related application. It rather talks about how data systems work and their design concerns. The book starts with non-functional requirements such as reliability, scalability and maintainability. Then it jumps data models which are associated with birth of NoSQL and ORM, thus query languages. The next chapter deeply dives into storage which is a common topics of traditional databases, e.g. Hash Indexes, Sorted String Tables, Log-Structured Merge-Trees, B-Trees. The topic is also extended to OLTP and OLAP, data warehouse. In the last chapter of the first section, it turns to topics of encoding formats such as JSON, XML and binary and dataflow services such as REST, SOAP and RPC. The second section is about distributed data. It starts wit
