📊 Data Warehouse for Algorithmic Trading – Student Presentation Ever 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 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 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