Designing Data-Intensive Applications

[sergioalvz]

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

• What is it?
  • [x] A book 📚
  • [ ] An article 📄
  • [ ] Other
• Link: https://dataintensive.net/

[SantiMA10]

Sep 17th: Chapter 2 (Santi)

[SantiMA10]

Sep 24th: Chapter 3 (Rober)

[shahved]

Oct 1st: Chapter 4 (Shahved)

[SantiMA10]

Oct 8th: Chapter 5 (Leaders and Followers & Problems with Replication Lag) (David)

[SantiMA10]

Oct 15th: Chapter 5 (Part II) (Santi)

[SantiMA10]

Oct 22th: Chapter 6 (Rober)

[miguelff]

Excellent resource, folks! I'm reading it too!

[shahved]

We meet Tuesdays at 16:00 hrs (GMT+2), if you'd like to join us :)

[SantiMA10]

Oct 29th: Chapter 7 (I & II) (Shahved)

[SantiMA10]

Nov 12th: Chapter 7 (Part II) (Santi)

[SantiMA10]

Dec 3rd: Chapter 8 (David) (I, II & III)

[SantiMA10]

@shahved @daviceitor RobertoM should we close this issue?