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.
Despite similar intentions and high-level goals, the ways in which AlwaysOn Failover Cluster Instances and AlwaysOn Availability Groups tackle high availability and disaster recovery are quite different....More
While AlwaysOn Availability Groups are a powerful solution that let DBAs tackle both high availability and some disaster recovery concerns from within a single, unified, set of technologies and tooling, AlwaysOn Availability Groups also come with a number of challenges....More
For some businesses, conducting a health check can be cumbersome, time-consuming, and the results, well, frustrating. However, a health check can be easy and rewarding for any business that wants to improve server performance, especially if you take the time to find the right solution provider....More