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.
Recently, I've been working with a consulting client to help them tame CPU usage. Typically, they're clocking over 20,000 queries and operations per second on their e-commerce SQL Server, but ran into an issue where CPU started spiking up above 90 percent for sustained periods of time....More
What should most database administrators be doing on a regular basis? Here's a comprehensive list from Michael K. Campbell of many of the things DBAs typically do on a daily, weekly, monthly, and yearly basis....More