您好,欢迎光临本网站![请登录][注册会员]  
文件名称: Data Architecture
  所属分类: 算法与数据结构
  开发工具:
  文件大小: 58mb
  下载次数: 0
  上传时间: 2018-10-29
  提 供 者: kat****
 详细说明: W.H. INMON DANIEL LINSTEDT Corporate data – the vista of information across the entire corporation. There are many different types of data found in the corporation. The book lays out one perspective of data and describes – at a very high level – how that data is used (and is not used) in the decision-making process of the corporation. Big Data – what is it and how can it enhance decision making in the corporation. There are different definitions of Big Data. This book takes a very pragmatic view of Big Data then discusses some salient characteristics of it. The most salient characteristic – one not discussed by the vendors – is that of the difference of repetitive and non-repetitive Big Data. Profound differences between repetitive and non-repetitive Big Data is herein called the “great divide.” This book is worth buying for no other reason than simply to understand this “great divide” and its implications to the decision-making ability of the corporation. Data warehouse – the need for corporate integrity of data. One day, corporations awoke to the fact having data was not the same thing as having believable data. They awoke to discover the meaning of “data integrity.” That was the day the enterprise data warehouse (EDW) was born. With an EDW, corporations had the bedrock data on which to make important PREFACE xix and trustworthy decisions. Prior to the EDW, corporations had plenty of data, but the data was not believable. Data vault – the need for managing the change of data over time. Data warehouses evolved over time. The ultimate in the evolution of data warehousing was the discipline and structure known as the “data vault.” There were and are many reasons to have the data vault as the backbone of the systems that require integrity. Operational systems – the need to run the corporation’s dayto- day business. For all the needs of managing very large data volumes and for data integrity requirements, there is (and will continue to be) a need to have systems that run and enhance the day-to-day operations of the organization. Architecture – how the different types of data and the different needs for data are fitted together, in a holistic and a cohesive way. It is one thing to recognize the different needs of perspectives of data in the corporation. It is another thing to envision how the different types of data fit together in a cohesive, holistic manner. ...展开详情收缩
(系统自动生成,下载前可以参看下载内容)

下载文件列表

相关说明

  • 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
  • 本站是交换下载平台,提供交流渠道,下载内容来自于网络,除下载问题外,其它问题请自行百度
  • 本站已设置防盗链,请勿用迅雷、QQ旋风等多线程下载软件下载资源,下载后用WinRAR最新版进行解压.
  • 如果您发现内容无法下载,请稍后再次尝试;或者到消费记录里找到下载记录反馈给我们.
  • 下载后发现下载的内容跟说明不相乎,请到消费记录里找到下载记录反馈给我们,经确认后退回积分.
  • 如下载前有疑问,可以通过点击"提供者"的名字,查看对方的联系方式,联系对方咨询.
 相关搜索: DW DM
 输入关键字,在本站1000多万海量源码库中尽情搜索: