What will I learn?
2 February 2022 | 9:00am – 15:00 pm
Time Zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna (UTC+01:00)
Sponsored by Microsoft and partner Lucient. This workshop will be delivered in Italian.
When you are able to gain valuable and detailed insights from analytics, you can innovate faster. With Azure Immersion Workshop: Analytics, you will learn to extract key information with effective optimization techniques using Microsoft Azure Synapse Analytics and Azure Synapse Studio. After the session, attendees will have the opportunity to participate in a hands-on workshop with Azure Synapse Studio.
You will have the opportunity to:
- Get a general overview of analytical techniques for optimization with Azure Synapse Analytics and Azure Synapse Studio.
- Learn how to use Microsoft Power BI and Azure together.
- Participate in a hands-on lab with Azure Synapse Studio.
Here’s how the event will be structured:
- The basics of analytics
- Optimizing analytics with Azure Synapse Analytics
- Detailed information useful for everyone with Power BI + Azure
- 15-minute break
- Hands-on lab with Azure Synapse Studio
Secure your participation now, as places are limited.
The Microsoft Immersion Workshop events, including the instructor-led lab during the event, are open to the public and offered at no cost.
Register nowSpeaker
Massimiliano Buschi works as a DBA and BI Specialist for Lucient in Italy. Upon graduating in Computer Science in 1999, he began working in the IT industry with SQL Server version 6.5.
Passionate about new technologies and enthusiastic about Microsoft products, he first gained experience as a System Administrator, and then improved his SQL Server skills within various industries such as banking, insurance, retail and services, both at SQL engine and Business Intelligence level.
Massimiliano joined Lucient in 2015, working in different fields such as customer support, Flex Services and DBA. His training as a Systems Engineer led him to specialize in Digital Transformation and in Themes Modernization in Data Platform Architecture
