data-warehouse

问题 When reading a book for business objects, I came across the term- fact table and dimension table. I am trying to understand what is the different between Dimension table and Fact table? I read couple of articles on the internet but I was not able to understand clearly.. Any simple example will help me to understand better? 回答1: This is to answer the part: I was trying to understand whether dimension tables can be fact table as well or not? The short answer (INMO) is No.That is because the 2

来源： https://stackoverflow.com/questions/38781657/upsert-in-redshift

来源： https://stackoverflow.com/questions/38781657/upsert-in-redshift

来源： https://stackoverflow.com/questions/38781657/upsert-in-redshift

来源： https://stackoverflow.com/questions/38781657/upsert-in-redshift

来源： https://stackoverflow.com/questions/57391164/what-is-the-best-way-to-transfer-data-from-sap-to-sql-server

来源： https://stackoverflow.com/questions/57391164/what-is-the-best-way-to-transfer-data-from-sap-to-sql-server

来源： https://stackoverflow.com/questions/57391164/what-is-the-best-way-to-transfer-data-from-sap-to-sql-server

问题 The terms are used all over the place, and I don't know of crisp definitions. I'm pretty sure I know what a data mart is. And I've created reporting cubes with tools like Business Objects and Cognos. I've also had folks tell me that a datamart is more than just a collection of cubes. I've also had people tell me that a datamart is a reporting cube, nothing more. What are the distinctions you understand? 回答1: Cube can (and arguably should) mean something quite specific - OLAP artifacts

问题 The terms are used all over the place, and I don't know of crisp definitions. I'm pretty sure I know what a data mart is. And I've created reporting cubes with tools like Business Objects and Cognos. I've also had folks tell me that a datamart is more than just a collection of cubes. I've also had people tell me that a datamart is a reporting cube, nothing more. What are the distinctions you understand? 回答1: Cube can (and arguably should) mean something quite specific - OLAP artifacts