Designing Data-Intensive Applications, 2nd Edition cover art

Designing Data-Intensive Applications, 2nd Edition

The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Pre-order: Try Premium Plus free
Pick 1 audiobook a month from our unmatched collection - including bestsellers and new releases.
Unlimited access to our all-you-can-listen catalogue of 15K+ audiobooks and podcasts
Access exclusive sales and deals.
£8.99/month after 30 days. Renews automatically.

Designing Data-Intensive Applications, 2nd Edition

By: Martin Kleppmann, Chris Riccomini
Narrated by: Graham Mack
Pre-order: Try Premium Plus free

£8.99/month after 30 days. Renews automatically. See here for eligibility.

Pre-order Now for £19.89

Pre-order Now for £19.89

LIMITED TIME OFFER | Get 3 months of Audible Standard for £0.99 a month

£5.99/mo thereafter - terms apply.

About this listen

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. What are the right choices for your application? How do you make sense of all these buzzwords?

In this second edition, Martin Kleppmann and Chris Riccomini build on the foundation laid in the acclaimed first edition, integrating new technologies and emerging trends. You'll be guided through the maze of decisions involved in building a modern data system, learn how to choose the right tools for your needs, and understand the fundamentals of distributed systems.

  • Peer under the hood of the systems you already use, and learn to use them more effectively
  • Make informed decisions by identifying the strengths and weaknesses of different tools
  • Learn how major cloud services are designed for scalability, fault tolerance, and consistency
  • Understand the core principles upon which modern databases are built
©2026 Martin Kleppmann and Chris Riccomini
Data Science
No reviews yet