This list of resources was part of a workshop I participated in on migrating web applications and database workloads to Azure. The session allowed attendees to get familiar with migrating web applications and their supporting data workloads to Azure.
In this Learning Path for the Azure Synapse (Formerly Azure SQL Data Warehouse), you are provided with various online resources in a structured learning format. Each level contains the objectives delivered through articles, labs and tutorials.
As companies move data workloads to the cloud, more and more resources are available online to help you get up to speed. The following learning map provides a path to these online resources not only to give you an overview but also to provide an experience of these technologies .
I must say that I enjoy articles that teach me something new from people who have a great depth of knowledge about a topic. I read an article by Avinash Kaushik, Create High-Impact Data Visualizations: Nine Effective Strategies, which covers nine strategies while reviewing sixteen visualizations. It reminded me of three key learnings I have had over my career.
PowerBI has built-in date hierarchy features that seem to cause confusion in not only new users but experienced users. This article shows you how to avoid errors.
A new ebook is available at the Microsoft Press blog titled “Microsoft Azure Essentials: Azure Machine Learning, by Jeff Barnes”. As part of the Microsoft Press Microsoft Azure Essentials series.
When you're in the planning phase of a database project, one of the important questions is how much space your data will take up. Great MSDN resource for SQL database sizing.
Great captured webinar from the Microsoft Program manager reviewing some of the real word applications of Power BI. The presentation goes over an overview of using Power BI for important metrics and analysis.
Datasets for use when either learning or doing demos.
