Integrate any data Keeping disk-based backups online is expensive and time-consuming. With SQL Server 2008 backup compression, less storage is required to keep backups online, and backups run significantly faster since less disk I/O is required. Partitions enable organizations to manage large growing tables more effectively by transparently breaking them into manageable blocks of data. SQL Server 2008 builds on the advances of partitioning in SQL Server 2005 by improving the performance on large partitioned tables. SQL Server 2008 provides improved query performance for common data warehouse scenarios. Star Join Query optimizations reduce query response time by recognizing data warehouse join patterns. Grouping Sets is an extension to the GROUP BY clause that lets users define multiple groupings in the same query. Grouping Sets produces a single result set that is equivalent to a UNION ALL of differently grouped rows, making aggregation querying and reporting easier and faster. With Change Data Capture, changes are captured and placed in change tables. It captures complete content of changes, maintains cross-table consistency, and even works across schema changes. This enables organizations to integrate the latest information into the data warehouse. With the introduction of the MERGE SQL Statement, developers can more effectively handle common data warehousing scenarios, like checking whether a row exists, and then executing an insert or update. Data Integration packages can now scale more effectively, making use of available resources and managing the largest enterprise-scale workloads. The new design improves the scalability of runtime into multiple processors. The need to perform lookups is one of the most common ETL operations. This is especially prevalent in data warehousing, where fact records need to use lookups to transform business keys to their corresponding surrogates. SSIS increases the performance of lookups to support the largest tables.
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