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.
As summer nears, the Power BI Preview is making bigger waves with every weekly release. Popular data sources and a plethora of Power BI Designer enhancements are being released at light speed pace. Check out the highlights on what has been released and what we might see next....More
Over the past few years we did not hear anything from Microsoft about SQL Server on-premises business intelligence enhancements. The extended cricket-chirping silence left us speculating about the future of Reporting Services, Analysis Services and other key technologies that are being used today to power critical decision making solutions. Good news, the waiting and wondering is over. Microsoft recently announced significant SQL Server on-premises upgrades for business intelligence in numerous presentations at both //build and Ignite conferences....More
In the last few posts (posts 19 – 24) I’ve covered some high-level concerns and reviewed some details about how to implement and manage database backups against AlwaysOn Availability Group databases. Most of the information I’ve provided was pretty basic or elementary – along with some additional guidelines for things to watch out for when managing backups. Which is to say that backups are never something you can simply take for granted and they’re never something you just take lightly....More