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.
Microsoft seems to be bent on marginalizing SQL Server Standard Edition—both in the sense of the artificial constraints placed upon how much memory it can use, and in terms of what seems to be a shift in focus on the role of Standard Edition from Microsoft....More
When DBAs and SysAdmins learn the ins-and-outs of AlwaysOn Availability Groups, they’re then able to address high availability and disaster recovery concerns from a single interface or set of tooling, thus providing better scalability of management....More