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.
When compared to AlwaysOn Failover Cluster Instances or clustered deployments of SQL Server, one of the main problems with AlwaysOn AGs is that a single database is made to straddle multiple hosts....More