Components of ETL Services at Database of File Level
* Operational Data Store: It stores detailed data and supports tactical, day-to-day decision making. A SAP view ODS as a near real-time informational environment that supports operational reporting by interacting with existing transactional systems, data warehouses, or analytical applications. SAP BW allows flexible access to data in the ODS, the data warehouse, and the multidimensional models.
* Data Marts: A data mart provides the data needed by a decentralized function, department, or business area. You need to weight the pros and cons before developing a data mart. For example, a data mart can be implemented faster and cheaper than a data warehouse, sometimes costing 80% less than a full data warehouse. But as data marts proliferate, the cost advantages can disappear. The IT organization must maintain the individual data marts and the multitude of ETL and warehouse management processes that go with them. Multiple data marts can complicate data integration efforts, increase the amount of inconsistent data, require more business rules, and create the data stovepipes that data warehousing strives to eliminate.
* Interfaces: The data mart interface enables users to transfer and update transactional data and metadata from one SAP BW system to other SAP BW systems.
* Open Hub Services: The open hub service is used to share data in SAP BW with non-SAP data marts, analytical applications, and other applications. This service controls data distribution and maintains data consistency across systems. With the open hub service, actual data and the corresponding metadata are retrieved from InfoCubes or ODS objects.
* Operational Data Store: It stores detailed data and supports tactical, day-to-day decision making. A SAP view ODS as a near real-time informational environment that supports operational reporting by interacting with existing transactional systems, data warehouses, or analytical applications. SAP BW allows flexible access to data in the ODS, the data warehouse, and the multidimensional models.
* Data Marts: A data mart provides the data needed by a decentralized function, department, or business area. You need to weight the pros and cons before developing a data mart. For example, a data mart can be implemented faster and cheaper than a data warehouse, sometimes costing 80% less than a full data warehouse. But as data marts proliferate, the cost advantages can disappear. The IT organization must maintain the individual data marts and the multitude of ETL and warehouse management processes that go with them. Multiple data marts can complicate data integration efforts, increase the amount of inconsistent data, require more business rules, and create the data stovepipes that data warehousing strives to eliminate.
* Interfaces: The data mart interface enables users to transfer and update transactional data and metadata from one SAP BW system to other SAP BW systems.
* Open Hub Services: The open hub service is used to share data in SAP BW with non-SAP data marts, analytical applications, and other applications. This service controls data distribution and maintains data consistency across systems. With the open hub service, actual data and the corresponding metadata are retrieved from InfoCubes or ODS objects.
