Azure offers a wide range of services that can be combined into a BI solution in the cloud.
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.
This quick vendor session demonstrates the spectrum of SentryOne's best-of-breed products for the Microsoft Data Platform, from Task Factory, to Plan Explorer, to DOC xPress, to the SentryOne monitoring platform, and beyond.
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.
Tabular Editor is an open source offline editor experience for SSAS Tabular, which offers lots of features in a simple UI that can vastly improve your productivity when developing Tabular Models at compatibility level 1200+
So, you think you know everything you need to know about the Power BI Report Server because you use traditional SQL Server Reporting Services. Well, don’t believe it!
In this session, I'm going to show you six amazing tools that must be in your developer/consultant toolbelt. These tools help you develop, manage, monitor and optimize your Tabular model, in other words, it makes your day to day job easier.
This session will explore the Tabular Model Scripting Language (TMSL); how TMSL can be used with PowerShell to automate the creation and deployment of an Analysis Services Tabular Model.
In this session we will look at all the important topics that are needed to get your Power BI modelling skills to the next level. We will cover the in memory engine, relationships, DAX filter context, DAX vs M and DirectQuery.
Learn how to get the most of your SSAS MD cubes when using Power BI as a front-end
This session will reveal what's new for Azure Analysis Services in the areas of performance, scalability, advanced calculations, model management, and monitoring.
Continuous Integration has not yet been fully integrated into our BI standards and methods. Tool support is still somewhat unsatisfactory. Let’s look into requirements for a SSAS solution and on ways to approach your self-made solution.
With increasing speed in relational query execution classical analytical solutions get challenged more and more. Why loose time for processing data into multi-dimensional databases? Why analyze outdated data if you can have fresh data instead?
Learn to build Analysis Services models in the cloud
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
I look at how you can take advantage of an on-premises gateway to make use of local data when creating reports and dashboards for Power BI. This will start with Power BI Desktop, and the choices you have for SQL Server and Analysis Services.
Data warehouse designers often ignore the specific needs of an OLAP database. In this session, John will outline the best ways to optimise your relational database to support your multidimensional OLAP cubes
Power BI offers new features for creating dashboards on the cloud. In this session, you will learn how to create data models, display visualizations and synchronize cloud data with on premise data sources.
In this session, we will share some of the hard lessons learned from the first large deployments in Analysis Services Tabular.
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