: These store the descriptive context (attributes) surrounding the facts (e.g., product name, date, store location). 🌟 The "Kimball Method" Principles
: Kimball insists on storing data at the lowest level of detail (the "grain") to ensure maximum flexibility for future analysis. 🛠️ Key Techniques Introduced
: Methods to track history when attributes change (e.g., when a customer moves to a new city). Type 1 : Overwrite the old data. Type 2 : Create a new row to preserve history (most common). Type 3 : Add a "previous value" column.