Building data warehouse in Redshift. Visualizations in Power BI
- integrate data sources in SQL server
- ETL and integrate SQL Server data with non SQL data with Qlik Sense scripting
- use Qlik Sense Set Analysis when necessary
- develop visualizations and publish for self serve
Data sources various divers SQL Server systems
- integrate data sources in SQL server
- ETL and integrate SQL Server data with non SQL data with Qlik Sense scripting
- use Qlik Sense Set Analysis when necessary
- develop visualizations and publish for self serve
Moving to a new Billing platform
- find out which tables matter
- find out how tables are connected
- code ETL in native Progress for migration
- code ETL for SQL data warehouse
- code ETL for data not connected to system
Replace datasource completely
- Mapping data from various IBM to the SAP data
- Identify the most important elements
- eliminating data and calculations no longer needed
- simplifying the system as much as possible
- Loading and cleaning incoming data
- write front end routines that converted the new data
- minimally change the existing application