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 Why analyze outdated data if you can have fresh data instead?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
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.
Do you need an OLAP database? Do you know how the data changed over time? Do you need an OLTP database? Do you need to write, never block and never lose a change? Then Temporal Databases tick those boxes and are a simple solution to these problems.
Each of the default SSAS client tools (Pivot Tables, SSRS, Power BI etc.) have strengths, but numerous limitations. See how XLCubed extends business users abilities in reporting, dashboards & data discovery, in any version of of SSAS & Office.
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
In this session Pyramid analytics will show how to use BI Office to easily build an adhoc Analysis Services Tabular Edition analytic data set and perform associative analysis using the unique features of BI Office.
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.
Learn how XLCubed unlocks the value of Multi-dimensional and Tabular SSAS and SQL for power users in Excel; providing pixel perfect delivery of reporting, dashboards for both Web and Mobile and with or without SharePoint.
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.
You don’t have to be an analysis services guru to gain a better understanding of how to analyse, configure and optimise cube processing.
Explore Power Query features to import data from existing Corporate BI systems.
Mark will explain the use cases for Analysis Services, illustrate how it improves performance for large data sets and eases report writing, and will go through a practical example of building a first Analysis Services solution
In this session we’ll look at a number of different data scenarios and explore ways of remodelling the data to optimise it for cubes and MDX. Sometimes a small ETL change can have a dramatic impact on the cube's functionality and simplicity.
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