Data Warehousing Interview Questions 1) Explain some disadvantages of data ware house? These are some of the disadvantages of data ware house: - 1) It represents a very large project with a very broad scope which is a big disadvantage. 2) Upfront costs are very huge and the duration of the project from the start to the end user is significant. 3) It is inflexible and unresponsive to the departmental needs. 2) Explain about the top design? In a top design model data ware house is designed in a normalized enterprise model. This is chiefly used for business intelligence and management capabilities. Data used for business purpose and management can be met through a data ware house. It is used to generate dimensional views and is known to be good and stable against business changes. 3) Explain about the non-volatile feature of data ware house? Data once written and saved in data ware house is static and it can never be deleted and over written once confirmed. It will be...
PhD || Artificial Intelligence, Machine Learning, Soft Computing, Quantum Machine Learning, Data Sciences.