Microsoft released SQL Server 2008 November CTP

Microsoft released SQL Server 2008 November CTP. You can download this version from:
https://connect.microsoft.com/SQLServer/content/content.aspx?ContentID=5395

Analysis Services Enhancements

• MOLAP Performance (FITS): New MOLAP-enabled write-back capabilities in SQL Server 2008 Analysis Services remove the need to query ROLAP partitions. This provides users with enhanced writeback scenarios from within analytical applications without sacrificing the traditional OLAP performance.
• Resource Monitoring: This concept is similar to DMV found in the relational engine. Analysis Services DMV addresses immediate needs of DBAs to get answers to the questions like: Who is connected to my server? What are the active sessions and what commands/queries they are running? What CPU consumed by particular query/command? What are the objects being referenced by particular command?
• MDX Query Optimizer - Block Computation: Block computations provide a significant improvement in processing performance, enabling users to increase the depth of their hierarchies and complexity of the computations.
• Aggregation Design:  SQL Server 2008 drives broader analysis with enhanced analytical capabilities and with more complex computations and aggregations. The AS Aggregation Design improvement exposes Aggregation Design objects in SQL Server BI Dev Studio and SQL Server Management Studio and provides tools for users to better work with these aggregation designs. In addition, an advanced view in the new Aggregation Design tab of the cube editor provides the ability for an advanced user to view and manually edit individual aggregations within an aggregation design.
• Analysis Services Cube Design:  New cube design tools help users streamline the development of the analysis infrastructure, enabling them to build solutions for optimized performance. The AS Cube Design improvement introduces a new Cube Wizard which helps users create better cubes in fewer steps.  The new wizard focuses on having the user answer a few questions to create leaner cubes that better targets their needs.  It also unblocks the previously difficult scenarios of creating a cube a cube based on a single, de-normalized table and creating a cube containing only linked dimensions.