信息处理的演化

信息处理的演化(中文3700字,英文2400字)
因种种原因信息一度几乎不可能走出应用。 共同的应用不被结合，应用没包含历史数据，并且应用被安放在不容易进入的技术。 结果是给最终用户的挫折。这挫折导致一个数据仓库的观念。 数据仓库基本违背数据库全部数据进单数据库聚集的授权的日子的理论。 数据仓库概念集中于不同的目的的不同种类的数据库。操作的事务处理被一类数据库提供，并且另一个提供了信息处理。 那些数据仓库去拿数据结合并且被超时储存用身体上分开适合进入和分析的信息最佳的数据库技术。数据市场从数据仓库增长， DSS 应用出现， 并且数据仓库在尺寸方面增长到一个点， 这里在一个仓库的数据的量容易超过更早期的数据库的大小重要的几项命令。

Evolution of Information Processing

For a variety of reasons information was once nearly impossible to get out of applications. Corporate applications were not integrated, applications did not contain historical data, and applications were housed in technology that was not easy to access. The result was frustration for the end user. This frustration led to the notion of a data warehouse. The data warehouse was a radical departure from the database theory of the day that mandated all data be gathered into a single database. The data warehouse concept focused on different kinds of databases for different purposes. Operational transaction processing was served by one type of database, and informational processing was served by another. The data warehouse called for data to be integrated and stored over time in a physically separate database technology that was optimal for access and analysis of information. Data marts grew from the data warehouse, DSS applications appeared, and the data warehouses grew in size to a point where the volumes of data in a warehouse easily exceeded the size of earlier databases by several orders of magnitude. Early online databases were considered large at 10 GB. Today, 10-TB data warehouses are considered large, and 10 TB is three orders of magnitude larger than 10 GB. Even with the data warehouse, other forms of informational technology were needed As the different architectural structures appeared in conjunction with the data warehouse, even more architectural structures were spawned.