Data Warehouse Design for Multiple Source Forest Inventory Management and Image Processing

#data-processing #workshop #technology #STEM #college #pipeline #resource #inventory-management #image-processing
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This research aims to implement a data warehouse (DW) to manage data for a YOLO (You Only Look Once) model, which identifies objects in images. It does this by integrating advanced data processing pipelines. Data are also stored and easily accessible for future use, including comparing current and historical data to understand growth or declining patterns. In addition, the design is used to optimize resource usage. It also scales easily, not affecting other parts of the data warehouse when adding dimension tables or other fields to the fact table. DW performance and estimations for growing workloads are also explored in this presentation.


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  • Date: 24 Apr 2025
  • Time: 12:30 AM UTC to 01:30 AM UTC
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  • 1000 K.L.O. Rd
  • Kelowna, British Columbia
  • Canada V1Y 4X8
  • Building: HS
  • Room Number: 301
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  • Starts 21 April 2025 06:00 PM UTC
  • Ends 24 April 2025 03:00 AM UTC
  • No Admission Charge




Agenda

5:30 pm - 6:15 pm - Kristina Cormier - Data Warehouse Design for Multiple Source Forest Inventory Management and Image Processing Workshop

6:15 pm - 6:30 pm - Coffee & discussions