With the SQL Server “Katmai” June CTP release, customers can immediately utilize new capabilities that support their mission-critical platform and enable pervasive insight across the enterprise. June CTP lays the groundwork for innovative policy-based management that enables administrators to reduce their time spent on maintenance tasks. June CTP provides enhancements in the SQL Server BI platform by enabling customers to provide up-to- date information with Change Data Capture and MERGE features, And develop highly scalable analysis services cubes with new development environments.
Declarative Management Framework (DMF)
Declarative Management is a new policy-based management framework for the SQL Server Database Engine that delivers the following benefits:
· Ensure compliance with policies for system configuration
· Prevent/monitor changes to the system by authoring policies for the desired configuration
· Reduce total cost of ownership by simplifying administration tasks
Change Data Capture (CDC)
· Change Data Capture (CDC) is a generic component that will track database changes asynchronously and expose the changes through a relational interface which can be consumed easily.
· Through this interface, consumers can very easily track changes based on their specific requirements and consume the change data using T-SQL or other data access methods.
MERGE SQL Statement
· Common data warehouse scenarios require developers to either insert information or update information. SQL Server 2008 will provide new statements within the SQL language to enable developers to provide this functionality with a single statement.
VSTA Support for the Script Task and Component
Star Join Query Optimizations
· For improved query performance for common data warehouse scenarios, Star Join Query optimizations reduce query response time by recognizing data warehouse join patterns.
AS Dimension Design: Improved Supportability and Integration of Best Practices
· Enhance UI for creating and editing dimensions to guide users toward designs that follow best practices.
· These include: Finish Attribute Relationship Designer, Dimension structure (presentation of attribute relationships), modification to wizards to align output with best practices, simplifying creation of composite keys, and AMO warnings (spanning all objects, not just dimensions)
Table Value Parameters
· In many customer scenarios, it is necessary to pass a set of table structured values (rows) to a stored procedure/function on the server. These values may be used for populating/updating a table directly or for more complex manipulation of data for business logic purpose. Table valued parameter will provide an easier way to define a table type as well as allow applications to create, populate and pass table structured parameters to stored procedures and functions.
Get the June CTP here - https://connect.microsoft.com/SQLServer/content/content.aspx?ContentID=5395