这些改进对于使用大型业务智能化(BI)应用程序和数据仓库的组织尤其有意义，因为它们依赖于索引和临时表。
These enhancements will be of particular interest to organizations with large business intelligence (BI) applications and data warehouses, which depend on indexes and temporary tables.
XML使用的增长促使许多公司探索如何将XML运营数据集成到自己的数据仓库和业务智能环境中。
This growing use of XML is prompting many firms to explore how to integrate XML operational data into their data warehouses and business intelligence environments.
分析性MDM还支持精确的业务智能化，可以与数据仓库和分析应用程序自动地同步数据对象和结构。
Analytical MDM also enables accurate business intelligence, and allows accurate objects and structures to be automatically synchronized with data warehouses and analytic applications.
数据仓库和业务智能化环境的一项常见需求是，维护特定时间段内滚动变化的历史数据。
A frequent requirement for data warehouses and business intelligence environments involves maintaining a rolling history of select data over a given period of time.
例如，数据仓库和业务智能(Business Intelligence,BI)部门通常擅于使用数据整合模式，而业务应用部门则擅长使用eai模式。
For instance, data warehousing and business intelligence (BI) are generally adequate with the data consolidation pattern, whereas business application groups are good at EAI.
文章以广域水质自动监控系统业务数据库为数据来源，研究了基于OLAP和数据仓库的智能报表系统(IRS)及其实现。
By using the business database of wide-area water quality auto-monitoring system as data source, we researched IRS and its implementation based on OLAP and data warehouse (DW).
文章以广域水质自动监控系统业务数据库为数据来源，研究了基于OLAP和数据仓库的智能报表系统(IRS)及其实现。
By using the business database of wide-area water quality auto-monitoring system as data source, we researched IRS and its implementation based on OLAP and data warehouse (DW).
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