Data Loading & Visualization in Power BI: Loading Data from Cloud Storage

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“Power BI offers robust capabilities to seamlessly retrieve data from various cloud storage services facilitating efficient integration of cloud-based data into reports and visualizations. It supports connections to popular cloud platforms including Microsoft Azure Blob Storage Amazon S3 Google Cloud Storage.

In this course you will learn how to import data into Power BI from BigQuery on the Google Cloud Platform (GCP). You will create a service account with the permissions necessary to access and load data. Next you will work with S3 buckets on Amazon Web Services (AWS) and create an Identify and Access Management (IAM) user with the credentials necessary to access and work with S3. You will write a Python script to connect to S3 and load and import data into Power BI. You will then access and retrieve data from Azure Blob Storage to load it into Power BI for analysis and use a connection string to authenticate and authorize Power BI to Azure storage. Finally you will import data by making REST API calls and from embedded HTML in a web page using a Web connector and build visualizations such as pie charts line charts treemaps and area charts in your Power BI report.”