SQLBits 2011
Handling Advanced Data Warehouse Scenarios in SSIS
Do you have complex dimensions in your data warehouse? Parent-child, late arriving, type 3 or type 6? In this session, we'll cover some SSIS patterns for handling each of these, along with tips for making them perform well.
So you’ve used SSIS to populate a simple star schema data mart, and everybody’s happy. But now you have new requirements that require more advanced data warehouse approaches, like late arriving dimensions, parent child dimensions, and Type 3 or Type 6 slowly changing dimensions (SCD). How do you handle those in a scalable, efficient way in SSIS? This session will present some common patterns for handling these scenarios. You’ll learn when to use each advanced approach and the pros and cons associated with each pattern. You will learn how to implement these patterns in SSIS, and how to tune them for high performance.
Speakers
John Welch's previous sessions
Continuous Delivery for Data Warehouses and Marts
Continuous delivery is an approach that enables new functionality to be delivered as needed. This session will cover how this approach can be applied to data warehouses to enable faster time to value for the consumers of the data.
Practical Unit Testing for SSIS Packages
Unit and integration testing for SSIS packages can be challenging. Come to this session to learn how to leverage open-source tools to drive the testing of your packages and the resulting data.
Unit Testing SSIS Packages
Unit testing is incredibly beneficial, but is very difficult to do effectively in SSIS. If you have wanted to do this, but aren't sure how, this session will cover the options and demonstrate a free tool for unit testing packages.
Handling Advanced Data Warehouse Scenarios in SSIS
Do you have complex dimensions in your data warehouse? Parent-child, late arriving, type 3 or type 6? In this session, we'll cover some SSIS patterns for handling each of these, along with tips for making them perform well.