When and where data modeling fits in each stage of the Azure architecture.
Demos and tips for leveraging essential community tools for Power BI Desktop.
When to use them, difference from dataset and dataflows and basic admin.
A deep dive into the benefits and capabilities of Power BI datamarts.
Offload query heavy lifting and processing back to the data source.
Power BI composite models is a game changer.
Compare 5 Microsoft options.
Synopsis of Microsoft’s two popular cloud-based options.
Dataflows and datasets are ways to organize and model self-service data.
Power BI offers many ways to pull in data for analysis. But what approach should your organization take? The answer depends on considerations that include whether or not your organization has an existing data warehouse, your need for real-time dashboarding and the ease-of-use factor for your analysts. We explore four options, outlining the pros and cons of each.
Organizing data to work for your reporting needs.
Choosing the right tool for the job.
Source and prepare your data for Power BI.
Enable data transformations and enterprise sharing.
Overview and mechanics of data analysis expressions.
Flawed data and bad decisions result from poor data models.
