Learn about Azure Analysis Services at the Microsoft Data Insights Summit 2017
We’re excited to participate in the Microsoft Data Insights Summit June 12 – 13, 2017 in Seattle, WA. This two-day event is designed to help you identify deeper insights, make better sense of your data, and take action to transform your business.
This year’s Microsoft Data Insights Summit will be filled with strong technical content, vibrant speakers, and an engaged community of experts. The event offers deep dive sessions, hands-on learning, industry insights, and direct access to experts. Join us to expand your skills, connect directly with Microsoft product development teams, and learn how to get the most from the Microsoft BI stack.
The Analysis Services program-management team is excited to deliver the following sessions.
Super Charge Power BI with Azure Analysis Services
Monday, June 12. 11:10 am - 12:00 pm.
Join this session to get a deep dive to how you can scale up a Power BI model by migrating it to Azure Analysis Services. This new service enables larger models and allows fine grained control of refresh behavior. We will cover migration, using the gateway for on-premises data, and new connectivity with Power Query and the M Engine for Power BI compatibility and reuse.
Creating Enterprise Grade BI Models with Azure Analysis Services
Tuesday, June 13. 11:40 am - 12:30 pm.
Microsoft Azure Analysis Services and SQL Server Analysis Services enable you to build comprehensive, enterprise-scale analytic solutions that deliver actionable insights through familiar data visualization tools such as Microsoft Power BI and Microsoft Excel. Analysis Services enables consistent data across reports and users of Power BI. The demos will cover new features such as improved Power BI Desktop feature integration, Power Query connectivity, and techniques for modeling and data loading which enable the best reporting experiences. Various modeling enhancements will be included such as Detail Rows allowing users to easily see transactional records, and improved support for ragged hierarchies.