Handling Errors and Data 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.
Tim Mitchell is a business intelligence consultant, author, and trainer. He has worked with SQL Server for over a decade, specializing in data warehousing, ETL/SSIS, and reporting. He holds a Bachelor’s Degree in Computer Science from Texas A&M at Commerce, and is recognized as a Microsoft Data Platform MVP. Tim is a business intelligence consultant and principal at Tyleris Data Solutions. Tim is an active community speaker and volunteer, having spoken at over 100 events including the PASS Summit, SQLBits, Dev Connections, SQL Intersection, and scores of SQL Saturdays. He blogs at TimMitchell.net, and tweets at @Tim_Mitchell.