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.
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.
This session looks at the most significant new functionality to be added to SSAS Multidimensional in recent years: support for the DAX language and Power View.
Excel is “The” analytical tool in Microsoft suite for advanced analysts. This session introduces Excel 2013 and 2010 business intelligence capabilities.
Processing of SSAS OLAP databases can be a tricky business, particularly when it comes to incremental processing of dimensions. John will give you real life examples of why certain approaches work and others do not.
Compare and contrast how multidimensional and tabular achieve the same end result in quite different ways. Features covered can be used in a broad range of scenarios (not only currency conversion), adding valuable knowledge to your SSAS arsenal.
This session will discuss what a modern strategy for data warehousing can be in this era, considering how the use of technologies like PowerPivot or Analysis Services Tabular affect the way you should model your data.
PowerPivot is a breakthrough for self-serve BI but is not easily deployed in the enterprise. Join us for this fast-paced, technical demonstration on how to upgrade PowerPivot into secure and scalable Analysis Services tabular cubes
In this session, we are going to explain and test different DW features in SQL Server 2012, including star join optimization through bitmap filters, table partitioning, window functions, columnstore indices and more.
Learn how Varigence tools accelerate BI development, enhance reusability, and improve agility through the use of customizable patterns and automation scripts and transform your metadata into comprehensive BI solutions.