Post by raselbd114 on Dec 5, 2023 13:51:28 GMT 5
Therefore a data warehouse stores atomic elementary data from source system databases. This approach guarantees flexibility and scalability which is extremely valuable in the case of rapidly changing database structures of source systems. Additionally all data marts are always based on the same data warehouse which implies consistency between them. Inmon is therefore a supporter of the single version of the truth theory SVOT. It is worth emphasizing that the data warehouse and data mart are physically separated which can be seen in the figure below. Data warehouse architecture diagram according to Inmon Fig.
Data warehouse architecture diagram according to Inmon Data warehouses are powered using the socalled ETL processes Extract Transform Load. These are processes whose task is: extraction i.e. downloading data from source systems; transformation i.e. transformation Email Marketing List and unification of data; loading data into the warehouse. The diagram shows data sources which may be databases of transaction systems or flat files from these systems. Other forms of data sources are of course possible but these two are the most common. The second optional layer is the staging area to which data is sent directly from the source systems most often without any transformations.
As I have already mentioned a data warehouse in the meaning of Inmon represents atomic data from source systems written in third normal form. Data marts are built on the basis of one central data warehouse sometimes referred to as the Corporate Information Factory. Data marts or OLAP cubes built on the basis of marts are data sources for various reporting applications equipped with functionalities such as pivot tables data visualization in the form of charts presentation of key KPIs Performance Key Indicators etc. Kimball's multidimensional world The name Kimball is closely associated with the logical schema of data warehouses known as the star schema.
Data warehouse architecture diagram according to Inmon Data warehouses are powered using the socalled ETL processes Extract Transform Load. These are processes whose task is: extraction i.e. downloading data from source systems; transformation i.e. transformation Email Marketing List and unification of data; loading data into the warehouse. The diagram shows data sources which may be databases of transaction systems or flat files from these systems. Other forms of data sources are of course possible but these two are the most common. The second optional layer is the staging area to which data is sent directly from the source systems most often without any transformations.
As I have already mentioned a data warehouse in the meaning of Inmon represents atomic data from source systems written in third normal form. Data marts are built on the basis of one central data warehouse sometimes referred to as the Corporate Information Factory. Data marts or OLAP cubes built on the basis of marts are data sources for various reporting applications equipped with functionalities such as pivot tables data visualization in the form of charts presentation of key KPIs Performance Key Indicators etc. Kimball's multidimensional world The name Kimball is closely associated with the logical schema of data warehouses known as the star schema.