公司级大数据管理

T. Orosz, I. Orosz
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引用次数: 2

摘要

在公司层面对海量数据进行仔细处理,唤起了企业数据管理的新工具和新方法。信息和数据量呈指数级增长,这不仅对个人而且对公司层面都是战略问题。对于这类问题,典型方法是众所周知的。数据存储在数据库、数据仓库和云应用程序中。对于上面列出的任何应用程序,都有各种知名的和适当的解决方案可供使用,但是它们很少在公司级别完成。因此,企业需要临时解决方案。本文将讨论主要问题以及典型数据管理的完整和临时解决方案。有效性、效率和成本从不同的角度进行论证,例如项目管理和知识管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Company level Big Data Management
Carefully Processing enormous data in Company-level evokes new tools and methods in Enterprise Data Management. The volume of information and data increases in an exponential way, which makes strategic issues not only for individuals but also in Company-level. Typical approaches are well known for these kinds of problems. Date is stored in Databases, Data warehouses and Cloud applications. There are various well-known and appropriate solutions are ready-to-use for any of the above listed applications, but they are rarely complete at Corporation levels. Therefore, Enterprises require temporary solutions. The current article discusses the main issues together with the complete and temporary solutions for typical Data management. Effectiveness, efficiency and costs are demonstrated in different point of views, e.g. Project and Knowledge Management.
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