An interactive showcase of data parsing, distributed databases, exploratory analysis, and spatial modeling.
Mastering data management across different schema setups using Pandas, SQLite, and MongoDB architectures.
Pre-processing pipelines uncovering hidden patterns and preparing clean datasets for scale.
Deploying programmatic geospatial clustering (K-Means/KDE) on road accident data.
A comprehensive lab covering data parsing, NoSQL/SQL databases, EDA formatting, and integrated Spatial Hotspot Analysis.
Scaling accident analysis to millions of records using a Docker-based Hadoop cluster and MapReduce parallel processing.
A comprehensive digital book detailing modern distributed architectures, the shift from Lambda to Kappa platforms, and MLOps strategies.
An interactive survey of distributed aggregation protocols, featuring TAG, Push-Sum, and our proposed Adaptive Gossip-Hierarchy hybrid.