Azure regions and geographies Microsoft data centers are grouped into collections across different sites to provide redundancy and high availability for the resources, such as compute and data hosted within the data centers. These sets of grouped data centers are known as regions and are exposed as the deployment location when creating resources. There can […]
Proximity placement groups Proximity placement groups are a logical entity, and an architectural component that should be considered in any solution design where low latency between Azure infrastructure compute resources are required. They ensure the compute resources are physically adjacent and collocated within the same physical data center and not across data centers. Proximity placement […]
Unassigning a workspace to a deployment pipeline stage It is possible to unassign a workspace from a deployment pipeline stage. To do this, click the menu for the stage and select Unassign workspace. The stage will need to be empty if you’d like to reassign the same workspace to this stage. Automating deployment pipelines Most […]
Using usage reports Usage for reports and dashboards are surfaced with the help of reports that are generated by the Power BI service. Usage metrics reports can be generated by selecting the View usage metrics report under the menu button for each report or dashboard, as shown in Figure 14.14: Figure 14.14 – Menu for […]
Configuring row-level security group membership As you saw in Chapter 5, Designing a Data Model, you can use DAX to filter your reports for row-level security. Once you publish your dataset to the Power BI service, you can enforce row-level security by assigning users or groups to the roles you created. Power BI uses Azure […]
Providing access to datasets One of the great things about Power BI is that you can reuse datasets from other reports to create your own reports. This allows you to minimize the memory used by Power BI and keep all your reports consistent. If you have ever been to a meeting where everyone is arguing […]
Evolution of cloud computing architectures Serverless comes about from another architectural shift in the compute layer and is an extension and evolution of PaaS. When you use PaaS resources to host a website or application or execute code, you are still using servers; you specify a set of underlying compute resources and pay for those. […]
Comparing the cloud computing service models Each service model has its characteristics. The most appropriate model is defined by how much you want (or need/mandate) to control, secure, and manage your resources, for example, your apps, code, data, networks, security, and so on. From the last section, we can now define what the service models […]