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IntroductionIn this tutorial, we'll explore one method to stream data from Cognite Data Fusion (CDF) to Power BI. While Cognite's Power BI connector serves its purpose, it has limitations, especially in terms of live data streaming and handling complex queries. Here I am presenting an alternative approach using "push" or "streaming" datasets in Power BI, bypassing the limitations of Cognite's Power BI connector by utilizing a scheduled job to fetch data from the CDF REST API and push it to the Power BI REST API.1) Understanding the Limitations of Import mode ConnectorsCognite's Power BI connector it's based on OData (Open Data Protocol) and uses Power BI's Import mode. Import mode is the most common mode used to develop semantic models. This mode delivers fast performance to end users thanks to in-memory querying. It also offers design flexibility to modelers, and support for specific Power BI service features (Q&A, Quick Insights, etc.). Because of these strengths, it's the defa
R is a programming language and environment for statistical computing and graphics. It was developed in the 1990s by statisticians Ross Ihaka and Robert Gentleman and has since become one of the most widely used programming languages for data science. R is an open-source project, which means that anyone can contribute to its development and use it for free.R is particularly popular among data scientists because of its powerful built-in tools for data manipulation, analysis, and visualization. R has a wide range of packages that can be used to perform various tasks in data science, such as data cleaning, statistical modelling, machine learning, and data visualization. R also has a highly active and supportive community, which means that there are many resources available online for learning and troubleshooting.Fetching live data from Cognite Data Fusion in R can provide data scientists and analysts with a powerful tool for analysing and visualizing industrial data. It can help them iden
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