Visualizing real-time NYC cab data and geodata

QuestDB, an open-source time-series database, is leveraged to simulate a real-time business dashboard using historical data from the New York City taxi industry, demonstrating its capabilities in managing demanding workloads with ultra-low latency and high ingestion throughput. The simulation employs QuestDB's support for Parquet files and SQL to create a pseudo-real-time dashboard that visualizes taxi data, offering insights into metrics such as trip counts, fares, and passenger numbers via Grafana. By interpolating between pickup and dropoff coordinates, the dashboard provides an approximate visualization of taxi movements, highlighting the potential of data visualization in business analytics despite the absence of true real-time data. The project underscores how QuestDB and Grafana can effectively handle large volumes of data and facilitate the creation of comprehensive dashboards, making them valuable tools for businesses seeking to enhance their data management and analytical capabilities.

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