Post by account_disabled on Dec 7, 2023 3:53:43 GMT -6
Collecting requirements is a key element of effective warehouse implementation. The group of recipients of final reports should be identified and conversations should be conducted to clearly determine what data the warehouse should provide and how often the warehouse should be refreshed. . Creating a data warehouse Based on the analysis performed you can proceed to the stage of physical implementation of the data warehouse i.e. creating the necessary tables with relationships. The construction of dimensions and fact tables should directly address business needs. . Building the ETL process data warehouse feed Based on the identified data sources for the warehouse a method of feeding the data warehouse should be implemented taking into account all necessary transformations. Supplying the data warehouse Once the ETL process is ready it can be launched and fed into the data warehouse.
If everything works correctly you can set automatic refreshment of the warehouse in accordance with the feed schedule established during the analysis e.g. once a day. . Testing inspection A very important and final stage is checking the correctness of the data that is available in Email Marketing List the data warehouse. Testing should involve end users who can assess whether the data reflects reality. Read also Business Intelligence services available Please remember that the initial analysis may not be sufficient at further stages.
Appetite grows with eating so a vigilant BI consultant must be in constant contact with end users to identify and implement subsequent business needs. These needs will usually arise naturally after the presentation of reporting capabilities based on wholesale data. Therefore a good solution is to adopt an agile project implementation strategy consisting in iterative delivery of the next version of the solution. jpro jcommerce standard in PLC programming cover Is a data warehouse a cure for information chaos? Need for Speed i.e. data analysis from Snowpipe?
If everything works correctly you can set automatic refreshment of the warehouse in accordance with the feed schedule established during the analysis e.g. once a day. . Testing inspection A very important and final stage is checking the correctness of the data that is available in Email Marketing List the data warehouse. Testing should involve end users who can assess whether the data reflects reality. Read also Business Intelligence services available Please remember that the initial analysis may not be sufficient at further stages.
Appetite grows with eating so a vigilant BI consultant must be in constant contact with end users to identify and implement subsequent business needs. These needs will usually arise naturally after the presentation of reporting capabilities based on wholesale data. Therefore a good solution is to adopt an agile project implementation strategy consisting in iterative delivery of the next version of the solution. jpro jcommerce standard in PLC programming cover Is a data warehouse a cure for information chaos? Need for Speed i.e. data analysis from Snowpipe?