In Data warehousing, levels are columns available in dimension table. Levels are having attributes. Hierarchies are USED for navigational purpose; there are two types of Hierarchies. You can define hierarchies in TOP down or bottom up.

1. Natural Hierarchy: BEST example is Time Dimension - Year, Month, Day etc. In natural Hierarchy definite relationship exists between each level
2. Navigational Hierarchy: You can have levels like
Ex - PRODUCTION cost of Product, Sales Cost of Product.
Ex - Lead Time defined to procure, ACTUAL Procurement time,
In this, two levels need not to have relationship. This Hierarchy is created for navigational purpose.

In Data warehousing, levels are columns available in dimension table. Levels are having attributes. Hierarchies are used for navigational purpose; there are two types of Hierarchies. You can define hierarchies in top down or bottom up.

1. Natural Hierarchy: Best example is Time Dimension - Year, Month, Day etc. In natural Hierarchy definite relationship exists between each level
2. Navigational Hierarchy: You can have levels like
Ex - Production cost of Product, Sales Cost of Product.
Ex - Lead Time defined to procure, Actual Procurement time,
In this, two levels need not to have relationship. This Hierarchy is created for navigational purpose.