When deciding which architecture to use for data warehousing in Goliath's Jerky Snacks, some questions that need to be considered are: 1What type of analysis does Goliath's Jerky Snacks want to perform? Are they more interested in historical data analysis or predictive analytics?2 Is the data needed to support the desired analysis being collected? For example, if Goliath's Jerky Snacks wants its employees' sales data incorporated into its data warehouse, it is important that they have those sales records available.3 Where is this data located? Is this data tracked to a specific system or systems within the company? Is it recorded manually, using spreadsheets, etc.?4 Is this data necessary to be cleaned? If so, how much do you need to clean it? There are many errors, such as duplicate records, repetitive data, or old entries?