Outline of Designing Data-Intensive Applications
A Outline of what's inside
Embark on an In-Depth Journey into the Design of Data-Intensive Applications
In this series, we’ll unravel the complexities of building systems that are reliable, scalable, and maintainable—core principles every engineer should master.
This book, Designing Data-Intensive Applications by Martin Kleppmann, is a treasure trove of insights, and I’ll be sharing my learnings through a series of articles as I read it. Here's a sneak peek at what's coming:
Part I: Core Foundations of Data-Intensive Applications
We begin with the fundamental principles that shape the design of robust systems.
Chapter 1: Explore Reliability, Scalability, and Maintainability—why they matter and how to achieve them effectively.
Chapter 2: Compare different data models and query languages to understand when and where each shines.
Chapter 3: Dive into storage engines, discovering how databases structure data for efficient retrieval.
Chapter 4: Learn about data encoding formats and the evolution of schemas over time to manage change gracefully.
Part II: Tackling the Challenges of Distributed Systems
Scaling out to multiple machines introduces unique hurdles. This section addresses these challenges head-on.
Chapter 5: Replication: Ensuring data availability and durability across systems.
Chapter 6: Partitioning/Sharding: Breaking data into manageable chunks for scalability.
Chapter 7: Understanding transactions to maintain consistency in distributed environments.
Chapter 8: A deep dive into the quirks and challenges of distributed systems.
Chapter 9: Achieving consistency and consensus, the holy grail of distributed computing.
Part III: Derived Data and Integration in Heterogeneous Systems
No single database can handle all use cases, and derived datasets are key in integrating diverse systems.
Chapter 10: The role of batch processing in transforming and deriving data.
Chapter 11: Stream processing as a real-time complement to batch workflows.
Chapter 12: Bringing it all together—strategies for building systems that are future-proof and robust.
Stay Tuned!
This series will delve into each topic, unpacking concepts and sharing actionable insights for engineers, architects, and anyone fascinated by the underpinnings of backend systems.
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Join me on this journey as I explore each chapter, distilling complex ideas into practical knowledge. Whether you're a seasoned developer or just curious about what makes modern systems tick, this series has something for you.
References:
Martin Kleppmann, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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