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.
Windows Server 2012 or Windows Server 2012 R2 Standard Edition is a great way to save thousands on licensing—and save yourself some serious headaches when deploying SQL Server AlwaysOn Availabiliity Groups....More
While I believe that NoSQL can have some places where it legitimately makes sense, I also believe that NoSQL is also the patently wrong choice for a number of different types of applications or use cases....More
Initial word on the street is that SQL Server 2014 has been very stable so far—which is probably why it went to release so quickly and bypassed what would typically have been another pre-release....More