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Explore the power of spatial analysis using SQL Server, R, and Power BI in this comprehensive conference talk from PASS Data Community Summit. Discover how to leverage these tools to study relationships between geographical data points and make informed decisions. Learn to analyze spatial properties, create custom shape maps, and utilize R scripts for advanced analytics. Through a real-world example, gain insights into applications such as store location selection, considering factors like accessibility, parking, and competition. Enhance your ability to collect, compare, and match data for rating choices, and unlock the potential of spatial information hidden within your datasets. Empower yourself to make data-driven decisions by harnessing the combined capabilities of SQL Server's spatial data type, R's analytical prowess, and Power BI's visualization features.
Syllabus
Spatial Analysis with SQL Server, R and Power BI - Andrea Martorana Tusa
Taught by
PASS Data Community Summit