Tabular Editor, an open source tool for authoring Tabular Models, makes it easier for teams of developers to work on the same model simultaneously. It also provides functionality for automated build and deployment. In short, DevOps for SSAS Tabular.
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.
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+
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.
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
Think you know MDX? This session will show you some advanced, little-known but nonetheless practical tips and tricks for writing complex calculations and making your queries run faster.
Continuous Integration is not normally associated with data warehouse projects due to the perceived complexity of implementation. John will be showing how modern tools make it simple to apply Continuous Integration techniques to data warehouse projects
Tabular offers only one-to-many relationships on a single column: it seems poor when compared with Multidimensional. However, with DAX, you can handle any relationship. We analyze and solve scenarios with calculated, virtual and complex many-to-many.
A SSAS MDX Deep Dive session covering the implementation of a business requirement to identify rogue behaviour over time and within SCD organisation groups.
This session goes beyond the classical star schema modeling, exploring new techniques to model data with Power Pivot and SSAS Tabular. You will see how brute-force power in DAX allows different data models than those used in SSAS Multidimensional
Impress the boss and your colleagues by delivering Dashboards, KPIS, maps and Scorecards wrapped in a tablet-ready interface with SSRS
Learn ready-to-use DAX patterns improving development speed of Power Pivot solutions. Good also for SSAS Tabular developers.
This session targets SSAS developers that are already dealing with complex security solutions on a regular basis and want to get more insights on what actually happens inside SSAS when the different kinds of security are applied to their model.
In this session we'll look at the structure and basics of MDX, the Multi Dimensional query eXpression language for querying Analysis Services OLAP cubes. We'll start at the beginning, so no previous experience necessary.
Explore Power Query features to import data from existing Corporate BI systems.
In this session, we will analyze the way DAX solves filtering. Starting from simple queries, we will follow the steps DAX does with the filter context, discovering the internals of the query engine of DAX.
<<1234>>