【24h】

Company level Big Data Management

机译:公司级大数据管理

获取原文

摘要

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.
机译:仔细地在公司级处理大量数据会唤起企业数据管理中的新工具和方法。信息和数据量呈指数级增长,这不仅对个人而且对公司层级都是战略问题。对于这类问题,典型的方法是众所周知的。日期存储在数据库,数据仓库和云应用程序中。上面列出的任何应用程序都可以使用各种众所周知的适当解决方案,但是在公司级别上它们很少完整。因此,企业需要临时解决方案。本文讨论了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,效率和成本在不同的角度得到了证明,例如项目和知识管理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号