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.
This session will cover advanced security topics in the Analysis Services Multidimensional model.
In this session we'll understand the best practices of using this new technology. What exactly is it good for? When to use it and when NOT to?
Migration, Security, Administration and other tips and tricks.
The Microsoft BI stack has a number of tools for data visualization - Excel, Power View, native Reporting Services, and Performance Point. Come see each visualization applied to the new tabular model in Analysis Services.
Users love flexible analytics but hate to wait for the data to be loaded into a traditional data warehouse. John will describe how to build an infrastructure to support real-time loading of your OLAP cubes so your user's get exactly what they want
Most of us use Excel in our Daily work, but are you familiar with the Business Intelligence features in Excel? In this session we'll look at some of the most common and useful BI features in Excel 2010 and discuss limitations and best practices.
In this session you will see how to create a BISM Tabular data model from scratch, providing the required metadata in order to improve user experience navigating the data model by using client tools like Excel PivotTable and Power View.
But were afraid to ask.
Pyramid Analytics burst onto the Microsoft BI scene with not only a full roadmap for ProClarity users, but also with cube driven dashboards that offer rich functionality – yet are easy to design and deploy by business users.
Ever deployed an Analysis Services cube that worked perfectly well with one user on the development server, only to find that it doesn’t meet the required volumes of user concurrency?