Data Ware House Life Cycle Diagram 1) Requirement gathering It is done by business analysts, Onsite technical lead and client In this p…
Slowly Changing Dimensions (SCD’s) SCD is a dimension which captures the changes that occur over a period of time. Type I – Contains only current …
Confirmed Dimension: Dimensions maintaining relationship with more than one fact table are called as confirmed dimensions Shipment (Fac…
1. Addictive Type: Measurements in a fact table that can be summed up across all dimensions Consider the following retail fact table: Store wise …
Tables in DWH Dimensions: Dimensions are attributes about facts. They store textual description about business. Dimensions are denormalized due to one t…
Data Acquisition: In DWH terminology, Extraction, Transformation, Loading (ETL) is called as Data Acquisition It is a process of extracting relevant busines…
Datamart The difference between a data mart and a warehouse is their scope: A data mart only seeks to serve the needs of a portion of the company, such as th…
Problems in existing systems: Data is scattered around multiple operational systems The inconsistency of the data across multiple transactional systems V…
Definition of Data Warehousing Data Warehousing is a relational database which is used to store large volumes of data for analyzing business but no…
If you're looking for Data Warehouse Interview Questions & Answers for Experienced or Freshers, you are at right place. There are lot of opportunities from many…
Data Ware House Life Cycle Diagram 1) Requirement gathering It is done by business analysts, Onsite technical lead and client In this p…
Slowly Changing Dimensions (SCD’s) SCD is a dimension which captures the changes that occur over a period of time. Type I – Contains only current …
Confirmed Dimension: Dimensions maintaining relationship with more than one fact table are called as confirmed dimensions Shipment (Fac…
1. Addictive Type: Measurements in a fact table that can be summed up across all dimensions Consider the following retail fact table: Store wise …
Tables in DWH Dimensions: Dimensions are attributes about facts. They store textual description about business. Dimensions are denormalized due to one t…
Data Acquisition: In DWH terminology, Extraction, Transformation, Loading (ETL) is called as Data Acquisition It is a process of extracting relevant busines…
Datamart The difference between a data mart and a warehouse is their scope: A data mart only seeks to serve the needs of a portion of the company, such as th…
Problems in existing systems: Data is scattered around multiple operational systems The inconsistency of the data across multiple transactional systems V…
Definition of Data Warehousing Data Warehousing is a relational database which is used to store large volumes of data for analyzing business but no…
If you're looking for Data Warehouse Interview Questions & Answers for Experienced or Freshers, you are at right place. There are lot of opportunities from many…