By introducing Azure Synapse Analytics, Microsoft created a whole new perspective when it comes to data treatment. Some core concepts, such as traditional data warehousing, came under more scrutiny, while various fresh approaches started to pop up after data nerds became aware of the new capabilities that Synapse brought to the table.

Not that Synapse made a strong impact on data ingestion, transformation, and storage options only – it also offered a whole new set of possibilities for data serving and visualization!

During the session, we will try to explore how Power BI works in synergy with the new platform. What options we, Power BI developers, have when working with Synapse? In which data analytics scenarios, Synapse will play on the edge, helping you to achieve the (im)possible? When would you want to take advantage of the innovative solutions within Synapse, and when would you be better sticking with more conventional approaches? What are the best practices when using Power BI – Synapse combo, and which parameters should you evaluate before making a final decision on which path to take.

Once we’re done, I believe that you should get a better understanding of the “pros” and “cons” for each of the available options when it comes to integration between Power BI and Synapse.