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Last week, members from the Azure Analysis Services team met with customers at the Microsoft Ignite conference in Orlando. The videos below give details about bringing Azure Analysis Services into your BI solutions, and also announce various new features that will be coming soon.
Delivering enterprise BI with Azure Analysis Services
Learn how to deliver analytics at the speed of thought with Azure Analysis Services on top of a petabyte-scale SQL Data Warehouse and Azure HDInsight Spark implementation. This session covers best practices for managing, processing, and query accelerating at scale, implementing change management for data governance, and designing for performance and security. These advanced techniques are demonstrated through an actual implementation including architecture, code, data flows, and tips and tricks.
Creating enterprise-grade BI models with Azure Analysis Services
Microsoft Analysis Services enables 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. This session covers 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 are included, such as Detail Rows allowing users to easily see transactional records, and deployment and application-lifecycle management (ALM) features to bridge the gap between self-service and corporate BI.
Architect your big data solutions with SQL Data Warehouse and Azure Analysis Services
Have you ever wondered what’s the secret sauce that allows a company to use their data effectively? How do they ingest all their data, analyze it, and then make it available to thousands of end users? What happens if you need to scale the solution? Come find out how some of the top companies in the world are building big data solutions with Azure Data Lake, Azure HDInsight, Azure SQL Data Warehouse, and Azure Analysis Services. We cover some of the reference architectures of these companies, best practices, and sample some of the new features that enable insight at the speed of thought.