After this session, you will be familiar with the positioning, responsibilities, and relevant Azure tools for a modern, Azure-based data platform.

Data platform consists of several responsibility areas, such as integrations / IPaaS, APIs / API Management, ETL and IoT streaming pipelines, machine learning, and, of course, data warehousing and BI. In this talk, the presenter will present all of these areas and their responsibilities, including the relevant and most commonly used Azure services, with a decision-tree on what services to pick when.

This session is most applicable for enterprise and solution architects, data experts (engineers/scientists), and developers, but can also be mostly followed by IT professionals and decision-makers wishing to understand the cloud stack a bit better. The session is about level 250.

This session received 4.7/5 from over 60 reviewers in Azure Tour across Finland in 2021.