Business intelligence and data warehousing

所在平台: CourseraArchive

课程类别: 其他类别

大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/business-intelligence-data-warehousing

课程评论:没有评论

第一个写评论        关注课程

课程简介

Universidad Nacional Autónoma de México

课程评论(0条)

课程详情

Welcome to the specialization course Business Intelligence and Data Warehousing. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses. You will be able to understand the problem of integration and predictive analysis of high volume of unstructured data (big data) with data mining and the Hadoop framework. After completing this course, a learner will be able to ● Create a Star o Snowflake data model Diagram through the Multidimensional Design from analytical business requirements and OLTP system ● Create a physical database system ● Extract, Transform and load data to a data-warehouse. ● Program analytical queries with SQL using MySQL ● Predictive analysis with RapidMiner ● Load relational or unstructured data to Hortonworks HDFS ● Execute Map-Reduce jobs to query data on HDFS for analytical purposes Programming languages: For course 2 you will use the MYSQL language. Software to download: Rapidminer MYSQL Excel Hortonworks Hadoop framework In case you have a Mac / IOS operating system you will need to use a virtual Machine (VirtualBox, Vmware).

商业智能和数据仓库:欢迎来到商业智能和数据仓库专业课程。本课程将在六个星期内完成,将获得视频和各种文档的支持,使您能够以非常简单的方式学习如何识别,设计和开发分析信息系统,例如对数据进行描述性分析的商业智能。仓库。您将能够理解通过数据挖掘和Hadoop框架对大量非结构化数据(大数据)进行集成和预测分析的问题。 完成本课程后,学习者将能够 ●通过分析业务需求和OLTP系统的多维设计,创建Star o Snowflake数据模型图 ●创建物理数据库系统 ●提取,转换数据并将其加载到数据仓库。 ●使用MySQL使用SQL编写分析查询程序 ●使用RapidMiner进行预测分析 ●将关系或非结构化数据加载到Hortonworks HDFS ●执行Map-Reduce作业以查询HDFS上的数据以进行分析 编程语言: 对于课程2,您将使用MYSQL语言。 下载软件: 快速矿工 MySQL数据库 电子表格 Hortonworks Hadoop框架 如果您使用的是Mac / IOS操作系统,则需要使用虚拟机(VirtualBox,Vmware)。

课程标签

0人关注该课程

主题相关的课程