TimeXtender DiscoveryHub, Agile Business Intelligence for SQL Server
DW - Data Warehousing & Modeling
Bill Inmon is one of the true pioneers of data warehousing and his "Building the Data Warehouse” is an absolute must read for every self-respecting data warehouse professional.
Drilling across different fact tables is a very important technique when analyzing data from a data warehouse. It gives us the possibility to analyze facts from different fact tables using conformed dimensions.
Because of a lack of offerings in the Belgian market, element61 has developed a training on Dimensional Data Modeling.
Poor data quality examples: missing fields, old or inaccurate information, data conflicts, inaccessible data in legacy systems.