A Hadoop-based dashboard summarizing ride statistics across New York City's taxi network.
A big data analytics course project: processing a large public dataset with distributed tools and surfacing the results as a usable dashboard.
Processed NYC taxi trip records using Hadoop's distributed MapReduce framework to compute ride volume, fare, and duration statistics at scale, then built a dashboard to visualize trends across time and location.
A working analytics dashboard summarizing ride patterns across the full NYC taxi dataset, built entirely on distributed processing infrastructure.