Large-scale network analysis processing BGP routing data to track internet routing dynamics, autonomous system growth, and prefix advertisement patterns using pybgpstream.
A data engineering project that processes massive BGP (Border Gateway Protocol) routing datasets to analyze internet routing behavior. The project tracks unique advertised prefixes, monitors autonomous system growth, and identifies the top ASes by prefix growth over time using real BGP data from global route collectors.
Processing massive BGP routing datasets efficiently, parsing complex AS path structures with AS-SETs, handling data from multiple global vantage points, and correlating routing changes across time.
Successfully analyzed global BGP routing data to identify routing trends and AS behavior patterns, providing insights into internet routing dynamics at scale.
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