DataZen, PowerBI, Stream Analytics and Azure Data Factory: session recordings are now online on Channel9

Posted by


On 21 October, Microsoft Portugal gathered around 300 attendees in Lisbon for a Microsoft Data Platform Airlift – an event designed to show you what you can do with the new generation of Microsoft solutions. These session follow the latest trends and are helping the technical community to master the new platform opportunities. Throughout the day the attendees were able to learn what they can achieve with the new SQL Server, explorer what’s new in Business Intelligence and Data Warehousing platform and the potential of the new cloud analytics and BI services supported on Microsoft Azure.

Once again, our team got invited to lead some sessions and to testify at the Keynote. Our three speakers were: José António Silva, José Barbosa and Rui Quintino.

All the sessions were recorded and are now available in Channel9 here.

Our sessions


In this opening session, Paulo Mena made an overview of the new features available in the Microsoft Data Platform and demonstrated their potential with live demos and testimonials from real cases of customers. Jose Antonio Silva (DevScope/TVI24Eleições) and Margarida Saragoça (Vieira de Almeida, Advogados) were the guest speakers. The full session recording can be found here:


Tags: #tvi24, #datazen, #azure, #powerbi

Real Time Analytics with Azure, DataZen, Power BI and Stream Analytics

by Rui Quintino, as usual he gave us one of the best session of the event, offering an interesting overview in how to combine Azure, DataZen, Power BI and Stream Analytics to enable real time analytics. Full session can be found here:


Tags: #azure, #datazen, #powerbi, #streamanalytics

Data Pipelines with Azure Data Factory

Either your data is on-premises or in the cloud, for sure you want to do something useful with it. In this session Jose Barbosa demonstrated why you just need a pipeline to aggregate, transform or move data to somewhere else.  The session´s recording can be found here:


Tags: #azure, #datafactory #ssis

Leave a Reply