Room: HS107, Bldg: 1000 K. L. O. Rd, 1000 K. L. O. Rd, Kelowna, British Columbia, Canada, V1Y 4X8, Virtual: https://events.vtools.ieee.org/m/555684

📊 Data Warehouse for Algorithmic Trading – Student PresentationEver wondered how financial data is organized and used to support stock market analysis?Join this presentation to explore how a Data Warehouse system is built to manage and process large-scale stock market data. The project demonstrates how raw financial data is transformed into structured formats that can be efficiently queried and used for predictive <a href="http://modelling.🔍" target="_blank" title="modelling.🔍">modelling.🔍 You’ll learn:-How Data Warehouses store and organize large datasets-Star schema design in a real system-How data pipelines automate transformation of financial data-How machine learning models use prepared datasets for predictions-How large datasets are processed efficiently💡 This presentation shows how data systems connect directly to real-world applications in finance and <a href="http://computing.Room:" target="_blank" title="computing.Room:">computing.Room: HS107, Bldg: 1000 K. L. O. Rd, 1000 K. L. O. Rd, Kelowna, British Columbia, Canada, V1Y 4X8, Virtual: https://events.vtools.ieee.org/m/555684