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Reading Plan
Designing Data-Intensive Applications
by Martin Kleppmann
38%
3/8 sections
| Date | Section | Pages | Time Spent | Review Schedule | |
|---|---|---|---|---|---|
| Part I. Foundations of Data Systems | |||||
Chapter 1. Reliable, Scalable, and Maintainable Applications Foundations of Data Systems | 3–26 | — | — | ||
| Apr 19 | Preface | 13 | — | — | |
| Apr 20 | Thinking About Data Systems | 4–5 | 25m | Apr 22 | |
| Reliability Chapter 1 · Reliable, Scalable and Maintainable Applications | — | — | — | ||
| Apr 20 | Hardware Faults | 7 | — | — | |
| Apr 20 | Software Errors | 8 | — | — | |
| Apr 20 | Human Errors | 9 | — | — | |
| Apr 20 | How Important Is Reliability? | 10 | — | — | |
| Scalability Chapter 1 · Reliable, Scalable and Maintainable Applications | — | — | — | ||
| Apr 21 | Describing Load | 11–12 | — | — | |
| Apr 22 | Describing Performance | 13–16 | — | — | |
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Designing Data-Intensive Applications
Author: Martin Kleppmann
Total Sections: 147 across 3 parts
Estimated Duration: 39 days
Plan Created: April 15, 2026 via IndexSprint
Part I. Foundations of Data Systems
Chapter 1. Reliable, Scalable, and Maintainable Applications (pp. 3–26)
- ☑Apr 16 · Thinking About Data Systems (pp. 4–5)
- Reliability (pp. 6–9)
- ☑Apr 16 · Hardware Faults (pp. 7–7)
- ☑Apr 16 · Software Errors (pp. 8–8)
- ☑Apr 16 · Human Errors (pp. 9–9)
- ☑Apr 16 · How Important Is Reliability? (p. 10)
- Scalability (pp. 10–17)
- ☐Apr 18 · Describing Load (pp. 11–12)
- ☐Apr 18 · Describing Performance (pp. 13–16)
- ☐Apr 18 · Approaches for Coping with Load (p. 17)
- Maintainability (pp. 18–21)
- ☐Apr 19 · Operability (pp. 19–19)
- ☐Apr 19 · Simplicity (p. 20)
- ☐Apr 19 · Evolvability (p. 21)
- ☐Apr 19 · Summary (p. 22)
▸ Reflect on Chapter 1
3 Key Takeaways
2 Questions I Still Have
1 Thing I Can Apply
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