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所在平台: Udemy |
课程主页: https://www.udemy.com/course/informatica-cloud/
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课程名称：学习 Informatica Cloud - IICS 课程概述： 本课程专注于 Informatica 的数据集成解决方案，涵盖数据提取、转换、加载 (ETL)、信息生命周期管理、企业对企业 (B2B) 数据交换、云计算集成、复杂事件处理、数据屏蔽、数据质量、数据复制、数据虚拟化、主数据管理 (MDM)、Ultra Messaging 和数据治理等关键领域。这些组件构成了构建和维护数据仓库的工具集。 数据集成是将位于不同数据源中的数据整合起来，为用户提供统一视图。在商业（如公司数据库合并）和科学（如整合生物信息学研究数据）等多种场景下，数据集成至关重要。随着大数据量的增长和数据共享需求的爆炸式增长，数据集成变得越来越频繁，并成为广泛理论研究的焦点，许多开放性问题仍待解决。 数据集成促进了内部及外部用户的协作。需要集成的数据来自异构数据库系统，并被转换为一个单一的、连贯的数据存储，为客户端提供跨文件网络的同步数据。数据集成的一个常见应用是在数据挖掘中，用于分析和提取现有数据库中有价值的业务信息。
Informatica's product portfolio is focused on data integration: extract, transform, load, information lifecycle management, business-to-business data exchange, cloud computing integration, complex event processing, data masking, data quality, data replication, data virtualization, master data management, ultra messaging, and data governance. These components form a toolset for establishing and maintaining data warehouses. Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users. The data being integrated must be received from a heterogeneous database system and transformed to a single coherent data store that provides synchronous data across a network of files for clients. A common use of data integration is in data mining when analyzing and extracting information from existing databases that can be useful for Business information
