In addition, this chapter finishes comparing different types of storage to Online transaction processing (OLTP) and Online Analytic Processing (OLAP). It has an excellent introduction to Log-structured merge tree (LSM-Trees) and B-trees. Also, it provides a historic overview of data models and query languages improvements.Ĭhapter 3 describes different ways of storing and retrieve information. This chapter shows examples of how to model the same problem in relational and NoSQL databases and compares the pros and cons of each solution. Chapter 2 compares different data models and query languages.
This part is dedicated to offline and near-real-time systems.Ĭhapter 1 is the introduction of the book and describes in many details the 3 keywords of the book: Reliability, Scalability, and Maintainability. Part 3, called Derived Data, is the last of this book and it is composed of chapters 10 to 12. Is composed of chapters 5 to 9 and it presents commons problems and solutions in distributed systems. Part 1, called Foundations of Data Systems, is composed of chapters 1 to 4 and describes the foundations of the book, partners to storage, encoding, and retrieval information. The book Designing Data-Intensive Applications by Martin Kleppmann is divided in 3 parts. This book is fantastic and you should read it if you like this subject.Īfter the important disclaimer and the clarification about this review, here are my notes after reading this book. Also, do not think that this is a replacement or a complement of the book, it is not. So, do not expect here a complete resume of the book or the concepts present in it.
Not to publish, but to describe in our words what we read and also to future references. After reading a paper, we should write a review. However, as a researcher, one of the most important things that I learned during my years at the university was the importance to write a review of papers. The only reason that I wrote this is for my future reference.įirst of all, I love to read books and I do not believe that a review should influence someone to read or not a book. Disclaimer: Don’t read this review, go ahead and read the book, it will be much better for you.
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