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Book Overview & Buying
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Table Of Contents
Practical Systems Programming in Go
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In this chapter, we successfully bridged the gap between raw algorithmic theory and data processing. We began by demystifying time series analysis, implementing fundamental distance metrics to quantify similarity and structuring this logic into a modular, reusable Go package. This foundation allowed us to solve the practical problem of nearest-neighbor search. Finally, we contextualized these analytical skills within the demanding realm of financial technology by introducing TigerBeetle, demonstrating how a purpose-built database can enforce strict ledger immutability and performance.
The next chapter is about time series data mining, the systematic process of uncovering meaningful patterns, relationships, and structures within time series data.