Improve SQL Server Data Quality in SSIS
Melissa sponsored on-demand webinar
Webcast Abstract
Data is the new oil, but just like oil, data needs to be refined as well. Data quality issues can be a serious burden on your business intelligence and data warehouse projects.
Unfortunately, SSIS doesn't have many options out-of-the-box to deal with these issues, leaving you to program all the logic yourself.
In this webinar, we'll show you how you can use the Data Quality components from Melissa in SSIS to drastically improve the quality of your data in an efficient manner.
Join us for this demo centric session to learn about:
- Drag and drop Data Quality features in SSIS
- Data Profiling to score and enrich your data
- Data Validation including contact data, emails, etc.
- Geocoding Information
- and more
Speaker - Koen Verbeeck
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