DATA-RELATED CHALLENGES CONTINUE TO GROW
与数据相关的挑战持续增加
Today, each application or suite often has its own database to support custom data models and provide fast data access. 今天，每个或每组应用通常使用自己的数据库来支持自定义数据模型并提供快速数据访问。Yet these independent data repositories must integrate with others to offer a complete view of business data — which is often required to support new composite applications. 然而，这些独立的数据存储必须整合在一起来提供一个完整的业务数据视图——通常需要它们来支持新的复杂应用。 Also, enterprises often have multiple instances of CRM or ERP applications, adding to the challenges of manageability, integration, security, performance, and recoverability. 并且，企业通常有多个CRM或ERP应用的实例，为可管理性、集成、安全、性能和可恢复性增加了难度。Inconsistent data from these applications can lead to bad business decisions and reduce customer satisfaction. 来自这些应用不一致的数据会导致糟糕的商业决定并降低客户的满意度。Standardization on one central database for all applications — a common unfulfilled dream from the 1980s — could solve these problems in theory but doesn’t work in practice. 将所有的应用均标准化至一个中心数据库——80年代的白日梦——能从理论上解决上述问题但实际行不通。
Since the 1980s, a host of data integration technologies — such as enterprise application integration (EAI); enterprise information integration (EII); extract, transform, and load (ETL); and replication
— have come along and tried to solve this problem of data integration by either moving data around between multiple replicas or performing real-time data integration with predefined views and interfaces. 80年代起，许多数据集成技术——例如企业应用集成(EAI)、企业信息集成(EII)、抽取、转换与加载(ETL)与复制——使用在多个复制点搬运数据或通过预定义视图与接口执行实时数据集成来试图解决数据集成的问题 。But getting the right data quickly and consistently for all applications continues to be a key challenge for many enterprises, especially as more interfaces and applications are added. 但尤其是当越来越多的接口和应用加入后，从所有的应用中迅速而一致地得到正确的数据始终困扰着许多企业。With diverse data that is supported by various applications, these remaining challenges include: 由于不同的应用支持不同的数据，未解决的挑战包括：
Limitations of existing data integration technologies.
有限的数据集成技术。
Growing data volumes for each application.
每个应用的数据量增长。
A growing need for data protection.
数据保户需求越来越强。
An increasing need for real-time information.
越来越需要实时信息。
The struggle with increasing complexity.
与不断增加的复杂度斗争。