Abstract:

According to the Centers for Disease Control and Prevention (CDC), food allergies in children have risen by 50% since 1990. That is one in every 13 children now has food allergies. Hence there is a need to deeply study different types of allergies based on various factors like gender, race, and age, but studying large datasets with a huge number of entries written in text format/table format is difficult. Hence there is a need to build an Analytical solution that processes a regularly updating dataset from the web using technologies like Azure Data Factory and Snowflake(Snowpark) for visualization in Power BI for a better and quick understanding of data which leads to early preventive measures of childhood allergies

Description:

Azure, Snowflake, Power BI.