如何有效地进行数据治理 | 人人都是产品经理http://www.woshipm.com/data-analysis/746223.html ##普元元数据管理(MetaCube)产品-白皮书.docx - 数据治理(元数据.数据质量)... - 简书https://www.jianshu.com/p/51ba8e1c7ecc 普元大数据治理解决方案 - yssycz的博客 - CSDN博客https://blog.csdn.net/yssycz/article/details/80132818…

原文地址:http://www.javacodegeeks.com/2015/07/mysql-vs-mongodb.html 1. Introduction It would be fair to say that as IT professionals we are living in the golden age of data management era. As our software systems become more complex and more distributed,…

We have a reoslver, which everytime we want visit '/courses' route, it will be triggered, then api will be called, data will be loaded. import { Injectable } from "@angular/core"; import { Resolve, ActivatedRouteSnapshot, RouterStateSnapshot } f…

https://erwin.com/blog/data-preparation-mapping/…

今天看到一篇数据治理的论文,以下为论文内容的记录与学习. 数据治理是指将数据作为企业资产而展开的一系列的具体化工作,是对数据的全生命周期管理.数据治理的目标是提高数据质量(准确性和完整性),保证数据的安全性(保密性.完整性及可用性),实现数据资源在各组织机构部门的共享:推进信息资源的整合.对接.共享和综合应用,从而提升企业管理水平,充分发挥信息化在经营管理中的作用. 数据治理其实是一种体系,是一个关注于信息系统执行层面的体系,这一体系的目的是整合IT与业务部门的知识和意见,通过一个类似于监督委员…

机器学习中离散特征的处理方法 Updated: August 25, 2016 Learning with counts is an efficient way to create a compact set of features for a dataset, based on counts of the values. You can use the modules in this section to build a set of counts and features, and late…

Hadoop promises to become a ubiquitous framework for largescale business intelligence, but right now it is difficulty for many developersto use. Datameer’s approack – making Hadoop accessible to more users who needscalable analytic power for their or…

AutoML for Data Augmentation 2019-04-01 09:26:19 This blog is copied from: https://blog.insightdatascience.com/automl-for-data-augmentation-e87cf692c366   DeepAugment is an AutoML tool focusing on data augmentation. It utilizes Bayesian optimization…

Problem You want to do reorder the columns in a data frame. Solution # A sample data frame data <- read.table(header=TRUE, text=' id weight size 1 20 small 2 27 large 3 24 medium ') # Reorder by column number data[c(1,3,2)] #> id size weight #> 1…

集市层 四层模型 ODS(临时存储层) MID(中间层) DM(数据集市层) APP(应用层) http://www.datamartist.com/data-warehouse-vs-data-mart [全集 子集] Data Warehouse: Holds multiple subject areas Holds very detailed information Works to integrate all data sources Does not necessarily use a…