Tim Mitchell is the speaker. Tim 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.
The topic is titled Dirty Data? Clean It Up! and will cover:
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.
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