We introduce the concept of aggregation, we show several examples of their usage understanding the advantages and the limitations of aggregations, with the goal of building a solid understanding on how and when to use the feature in data models.
Power BI Premium and Analysis Services enable you to build comprehensive, enterprise-scale analytic solutions. This session will deep dive into exciting new and upcoming features.
Various topics will be covered such as management of large, complex models, connectivity, programmability, performance, scalability, management of artifacts, source-control integration, and monitoring. Learn how to use Power BI Premium to create semantic models that are reused throughout large, enterprise organizations.
Learn how dataflows can be used to load data in Power BI.
In this session, attendees learn about how to create PowerApps solutions, how to use PowerApps as data entry application for Power BI. How to integrate PowerApps in Power BI and Power BI in PowerApps.
In this session we will learn which processes are required to build a real-time analytical model along with batch-based workloads, which are the foundation of a Lambda architecture.
PowerShell loves Power BI. In this session we will take a look at how to manage your datasets, security, monitor licensing and more, all through the ultimate administration interface: PowerShell!
Relationships are present in any data model. Multiple relationships between the same tables and bidirectional filters increase the complexity of this topic. In this session, we discover the complexity behind relationships in complex models.
You want to use all the new and sexy cloud based data services like PowerBI, Flow and hosted SSAS, but your data remains strictly on premise. Come along to see how to use the data gateway to connect Azure to your on-premise data.
In this talk you will learn how to use Power BI to prototype/develop a BI solution in days and then evolve it into a fully scalable Azure BI solution.
This is a session for the all of you with short attention spans (like me!) In this session, we will rapid fire tip after tip to help you be a better report author. We'll use the popular Microsoft tools, SSRS and Power BI.
This session takes a closer look at Azure Stream Analytics, and how you can make it work in your Projects.
Microsoft Power BI supports custom visuals from the Office Store (store.office.com). In this session I will demonstrate what is needed for starting building your own.
Extended Events, Dynamic Management Views, and Query Store are powerful and lightweight tools. In this session you will learn techniques for combining the data from these tools, to gain great insight, when analyzing performance problems.
It takes minutes to create and share Power BI reports and users who has relevant Power BI access can do many things in the PBI service. In this session, Prathy will show how having a deployment strategy helps maintaining Power BI service.
Text analysis of financial documents using R & Power BI.
Learn the basic knowledge to use the R language in Power BI as source, transformation or visualization
This session will reveal what's new for Azure Analysis Services in the areas of performance, scalability, advanced calculations, model management, and monitoring.
An IoT analytics solution addressing real-life issues with SCADA data from a network of 600 Waste Water Treatment Plants and 100s of Pumping Stations. An end-to-end solution with Azure Data Warehouse, Azure Data Factory, Azure Analysis Services and PowerBI
These two Microsoft analytic platforms share lots of technologies and users can import and model data in any one of the environments and use the results across both.
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