【24h】

Managing big data integrity

机译:管理大数据完整性

获取原文

摘要

Big data becomes a real opportunity and a serious worry for data managers, data scientists, researchers and even for business managers. An opportunity as a set of powerful technologies and a bunch of interesting concepts that aim resolving business problems of an organization. A worry because big data implies big challenges and big resources that make harder the task of mining value from all the available data. The data, even in context of big data, need to have a value to help on making good business decisions. In fact, sound decision requires confidence on data that must draw the real world, at any stage of data processing. In other words, the data have to keep their integrity properties from origination until the final destination in analysis reports or in a business indicator. In this paper, we will throw light on integrity issues for big data and we introduce a new model about how preserving integrity in the context of big data.
机译:大数据成为一个真正的机会,严重担心数据经理,数据科学家,研究人员,甚至是商业经理。作为一系列强大的技术和一堆有趣的概念,旨在解决组织的业务问题的机会。担心,因为大数据意味着大量挑战和大资源,使得更加难以从所有可用数据的挖掘价值的任务。即使在大数据的背景下,数据也需要有一个值来帮助做出良好的业务决策。事实上,在数据处理的任何阶段,声音决策需要对必须绘制现实世界的数据的信心。换句话说,数据必须将其完整性属性从分析报告或商业指标中的最终目的地始于始发。在本文中,我们将揭示大数据的完整性问题,我们介绍了一个关于在大数据背景下保持完整性的新模型。

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