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Why data pipelines?
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Classroom Contents
Numbers Every Scala Programmer Should Know
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- 1 Intro
- 2 Why software performance matters
- 3 Case studies
- 4 What do the numbers tell us?
- 5 Pipelining and Amortization
- 6 Basic modern types of infrastructures
- 7 Why data pipelines?
- 8 Services, requests and inner loops
- 9 Complexity analysis
- 10 Optimizing expensive operations
- 11 Performance of expensive operations
- 12 Example analysis (answer)
- 13 Total application performance
- 14 Asynchronous performance impact
- 15 Recursion and Loops benchmark code
- 16 Collection benchmark methods
- 17 Collection benchmark code
- 18 Mutability benchmark methods
- 19 How does this help us design software?
