When building a data warehouse, you often need to flatten the data when you move it from the Raw tables to the Stage tables. Flattening data can be a difficult concept for new warehouse designers to grasp, so here are two detailed examples.
If you're inexperienced with using SSIS, creating a data warehouse might seem like an impossible task—but it's not if you use some different strategies. For example, you can use a wizard to initially create an SSIS package that will move data from the source system into the data warehouse.
My initial goal in writing this series of posts was to outline some of the concerns surrounding Availability Groups (AGs) and SQL Server Agent Jobs – and call out how there is virtually no guidance from Microsoft on this front and then detail some of the pitfalls and options available for tackling this problem domain. I initially expected this series of posts to have between 25 and 30 posts – according to some of the early outlines I created ‘way back when’....More
Throughout this series of posts I’ve taken a somewhat pessimistic view of how SQL Server Agent jobs are managed within most organizations – meaning that most of the code and examples I’ve provided up until this point were based on assumptions about how CHANGE to jobs is managed. That pessimism, to date, has come in two forms:...More
In this series of posts I’ve called out some of the concerns related to SQL Server AlwaysOn Availability Groups and their interaction with SQL Server Agent jobs – both in the form of Batch Jobs (see post #3) and backups....More