# ♯ Kleppmann - Designing data-intensive applications ## Metadata **Kind**:: #paralet **PARA**:: [[1 Projects]] **Status**:: #now **Zettel**:: #zettel/fleeting **Created**:: [[2025-11-05]] **Origin of**:: #via/ddia ## First Edition **Children**:: [[Kleppmann - Designing data-intensive applications]], [[Martin Kleppmann - Designing Data-Intensive Applications (Highlights)]] - [[Designing data-intensive applications - Summary of Chapter 5. Replication]] ## Second Edition **Children**:: [[Kleppmann et al. - Designing Data-Intensive Applications, 2nd Edition]] ### What's New #### Completely New Chapter - **Chapter 14 — "Doing the Right Thing"**: Ethics, bias/discrimination in predictive analytics, privacy, surveillance, consent, and regulation. The biggest addition. #### New Chapter 1 Replaces the old intro chapter: covers cloud vs self-hosting, operational vs analytical systems, distributed vs single-node trade-offs, and data systems & law. #### Major New Sections Throughout - Ch3 (Data Models): Event Sourcing & CQRS, DataFrames/Matrices/Arrays - Ch4 (Storage): Cloud Data Warehouses, Vector Embeddings - Ch5 (Encoding): Durable Execution & Workflows, Event-Driven Architectures - Ch6 (Replication): Sync Engines & Local-First Software - Ch9 (Distributed Systems): [[♯ Formal Method|Formal Method]] & Randomized Testing - Ch10 (Consistency): ID Generators & Logical Clocks - Ch11 (Batch Processing): Object Stores, DataFrames, ML, Serving Derived Data