The Ingestion and Transforming of data in Microsoft’s Azure Platform can cover a wide variety of topics a Microsoft Azure Data Engineer needs to know. This post covers some must-have documentation, tutorials, and demos to help you through the topic.
The hardest aspect of Microsoft Ignite was keeping up with all the announcements, especially this year with what seems a focus on the overall state of the enterprise and self-service analytics. This post provides a round-up to the various announcements and sessions in the Data & AI Platform, Power BI, Azure Data Factory, Azure Purview, and associated technologies.
With the announcement of Azure Purview, it is a great time to review some of the key features and provide a learning path made up of free online resources to help you get up to speed. This article will take you through an overview of Azure Purview by setting the stage focusing on Data Governance and providing links to the next steps.
One of the biggest questions you will be asked as you investigate moving workloads to the cloud is, How Much is this going to cost? This article will review a process, resources and questions you need to answer to provide realistic cost estimates to get more out of the Azure Pricing Calculator
Migrating web applications and database workloads to Azure. These links and learning path is from that 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.