When ETL Goes Bad: Handling Errors and Anomalies in SSIS
Even in the most reliable ETL system, it's eventually going to happen: A package will fail, an output row count won't match what is expected, a data anomaly will force a forensic search of the package infrastructure...
In this session, we'll talk about some of the things that can go wrong during package execution - and some of the defenses that can be built into SSIS to help head off those errors (or at least make the errors easier to troubleshoot). From error handlers to package restartability, and from logging methods to row count validation and remediation, we'll cover various ways to keep your ETL flowing when problems arise.
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Tim Mitchell is a business intelligence consultant, database developer, speaker, and trainer. He has been working with SQL Server for over 10 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 an independent business intelligence consultant and a group principal with Linchpin People.
As an active member of the community, Tim has spoken at national, regional, and local venues including the SQL PASS summit, SQL Connections, numerous SQL Saturday events, and various user groups and PASS virtual chapters. He is active in the North Texas SQL Server User Group in Dallas, and is a 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.
Tim is a contributing author on the charity book project MVP Deep Dives 2, and is coauthor of SSIS Design Patterns.
You can visit his website and blog at TimMitchell.net or follow him on Twitter at twitter.com/Tim_Mitchell.
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