"Dirty Data? Clean It Up! By Tim Mitchell"

Dirty Data? Clean It Up!

Dirty data is everywhere, and it's headed for a database near you.  Extraction, transformation, and loading (ETL) can be difficult, but often the most challenging component of that process is the validation and clean up of data.  Information must be cleansed in such a way that it retains its original message and business value, while conforming to the expectations of the destination system(s).  In this session, we will discuss some of the high-level challenges of dealing with dirty data, along with some infrastructure-agnostic recommended practices for doing so.  Further, we will dig in and get our fingernails dirty (pun intended) on some specific ways that SQL Server Integration Services (SSIS) can be used to cleanse incoming data.

About the Presenter

Tim Mitchell is a business intelligence consultant, database developer, speaker, and trainer.  He has been working with SQL Server for over 7 years, working primarily in business intelligence, ETL/SSIS, database development, and reporting.  He has earned a number of industry certifications and holds a Bachelor's Degree in Computer Science from Texas A&M at Commerce, and is a Microsoft SQL Server MVP.  Tim is a business intelligence consultant for Artis Consulting in the Dallas, Texas area.  As an active member of the community, Tim has spoken at venues including numerous SQL Saturday events, Houston Tech Fest, and various user groups and PASS virtual chapters.  He is a board member and speaker at the North Texas SQL Server User Group in Dallas, is co-chair of the PASS BI Virtual Chapter, and is an active volunteer for PASS.  Tim is an author and forum contributor on SQLServerCentral.com and has published dozens of SQL Server training videos on SQLShare.com.  You can read his blog at TimMitchell.net or follow him on Twitter attwitter.com/Tim_Mitchell.