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Power BI Premium provides dedicated resources to run Power BI in an organization. It can be a great cost saver to try and use this dedicated capacity as efficiently as possible without paying for unneeded resources. This is where performance tracing can help us analyze system usage and help make informed decisions about scaling up or down.

As data professionals, our role is to extract insight, build AI models and present our findings to users through dashboards, API’s and reports. Although the development phase is often the most time-consuming part of a project, automating jobs and monitoring them is essential to generate value over time. At element61, we’re fond of Azure Data Factory and Airflow for this purpose.

The goal of this document is to go over the considerations and settings needed to create a successful Power BI implementation. We will be using a high-level view and focus on large corporations with many users.

element61 believes Delta features create a big opportunity for anyone starting with a Data Lake or already having a Data Lake.