Scale-Out Querying with Analysis Services

This white paper describes how to set up a load-balanced scalable querying environment for Microsoft SQL Server 2005 Analysis Services so that you can handle a large number of concurrent queries to your Analysis Services servers. Load-balanced querying ensures that readers of OLAP cubes can consistently query for the latest aggregations throughout the day and distribute the load of all queries among the available servers. This scale-out querying architecture optimizes cube processing time, increases the frequency of cube update, and makes processing more robust as you can afford more frequent processing and transparent error recovery.

By default in SQL Server 2005 Analysis Services,...

What types of authentication exist in SQL Server...

You create a SQL Server 2005 Analysis Services...

Conditional Formatting in the Analysis Services Layer

Support conditional formatting for enterprise reports from the Analysis Services layer of the integrated Microsoft business intelligence solution.

You have installed a new SQL Server 2005...

Synchronising Databases in SSAS 2005

Planning for disaster recovery in SQL Server Analysis Services can be tricky. Fortunately SQL Server 2005 introduces the concept of a database synchronization, allowing you to transfer information and meta data from one server to another. Yaniv Mor brings us a look at this feature.

Connect to a Remote SSAS 2005 Database

Connecting to a SQL Server 2005 database is a simple process, but connecting to an Analysis Services 2005 database takes a bit more effort. Longtime data warehousing author Jacob Sebastian brings us a quick tutorial on how you can connect from Management Studio.

Creating a Basic SSAS Cube

In this demonstration, you'll quickly learn how to create a basic cube using the Cube Wizard upon a data warehouse. Brian walks through the entire process in this 10 minute video to get you started with creating a browsing a cube.

SQL Server Profiler for Analysis Services

Use SQL Server Profiler to “look behind the scenes” within Analysis Services 2005. BI Architect Bill Pearson leads a hands-on introduction to determining resource utilization effectiveness for both processing and query performance with profiling.