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Burrows Wheeler Transform BWT Preparing Data for Efficient Compression
Introduction Data compression is not only about reducing file size it is about transforming data into a form that can be encoded more efficiently. One of the most elegant examples of this idea is the Burrows–Wheeler Transform (BWT). Unlike traditional compression algorithms that directly reduce data size, BWT is a reversible data transformation that…
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Event Sourcing Storing History Instead of Final State
A Deep Dive into a Paradigm Built for Transparency, Auditability, and Time-Travel Modern software systems are increasingly expected to be auditable, resilient, and explainable. In domains like finance, banking, healthcare, and large-scale platforms, knowing what the current state is is no longer enough we must also know how we got there.This is where Event…
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The Power of Memory-Mapped Files in High-Performance File Processing
In modern data-driven systems, file I/O is often the primary bottleneck not CPU, not memory, but the cost of moving data between storage and user space. As datasets grow from megabytes to terabytes, traditional read/write-based file access models struggle to scale efficiently. This is where memory-mapped files (MMF) fundamentally change the performance equation. Memory…