Before visualizing data, you need to understand the level of "truthiness" available in the data vs. the actual truth. Questionable data can immediately discount its effectiveness.
Data Quality Solutions
SQL Server Technical Article
Elizabeth Vitt, Intellimentum
Hitachi ConsultingTechnical Reviewers
Donald Farmer
Microsoft CorporationStacia Misner
Hitachi ConsultingJuly 2006
Applies to:
SQL Server 2005Summary: This white paper describes how application developers can incorporate data quality into their Microsoft SQL Server 2005 Integration Services solutions. (22 printed pages)
No comments:
Post a Comment