Incremental Loads with SSIS
The volume of data addressed by the ETL operation is constantly on the rise. Not so many years ago, a table with a few million records was considered to be huge. These days, it's not uncommon to deal with multibillion row tables. As a result, ETL professionals are frequently tasked with incrementally processing large sets of data, bypassing expensive and time-consuming destructive reloads.
In this session, we will talk through the flow of an incremental load, and will review common decision points surrounding incrementally loading data. We will also discuss methods for incremental processing using SQL Server Integration Services.
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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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