On Thursday the 2nd of May, I’ll be giving a webcast for MSSQLTips.com about data quality and SSIS. The abstract:
SQL Server Integration Services (SSIS) has been around for more than a decade in the Microsoft Data Platform stack. It’s a widely used ETL tool, allowing you to integrate and transform data from various sources. However, data from certain sources isn’t always that clean. For data to be really useful, data quality is very important. In this webinar, we’ll go through the various options that SSIS can offer for handling data quality. We’ll cover for example:
- How to implement regular expressions in SSIS
- How to use the standard components for validating data
- How you can leverage the power of SQL
- How to use the fuzzy components in the data flow to clean data
- And more…
By attending this webcast, you’ll learn more about the various data quality and cleaning options present in SSIS. We will also learn about a solution from Melissa that will streamline and greatly enhance the quality of your data directly in SSIS.
As mentioned in the final paragraph, the webinar is a team-up with Melissa. I’ll talk first about the out-of-the-box tools for data quality in SSIS, then Melissa will present one of their solutions.
You can register here.
